Eric Siegel is an expert in business analytics, predictive analytics, and data mining. He has over 20 years of experience consulting for Fortune 500 companies and government agencies. He specializes in developing predictive models to solve business problems related to sales forecasting, customer attrition, and data analysis. Siegel also has extensive experience managing analytics projects, communicating results to business stakeholders, and teaching predictive analytics.
Eric Siegel is a data analytics consultant who has over 20 years of experience applying predictive analytics and data mining to solve business problems. He has held leadership roles defining analytics strategies and developing predictive models for applications such as sales forecasting and customer attrition. Siegel also has experience discovering and preparing data from disparate sources, and communicating technical analytics concepts to business audiences.
John H. Muller has over 20 years of experience in analytics, statistical modeling, and quantitative finance. He currently works as a Vice President and Associate Portfolio Manager at Acadian Asset Management, where he develops analytical tools and conducts research projects. Prior to this, he held data science and analytics roles at several other financial firms, and has a Ph.D. in Computer Science.
Presentation about new indicators for innovation missions focusing on the mission to transform the prevention, diagnosis and treatment of AI, given at the EMAEE conference, University of Sussex 5 June 2019.
II-SDV 2014 Search and Data Mining Open Source Platforms (Patrick Beaucamp - ...Dr. Haxel Consult
The document discusses open source search engine and data mining platforms. It provides an overview of popular platforms like Lucene, Solr, Elasticsearch and Hadoop-based platforms. It also discusses features expected in search engines and interfaces. Classification, clustering and association rule mining algorithms for data mining tasks are explained along with applications. References for search and data mining platforms and algorithms are provided.
Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.
Rhiannon Weaver is a statistician with over 8 years of experience analyzing large data sets for a Federally Funded Research and Development Center. She has extensive experience analyzing billion-record data sets and building statistical methods for analysis at scale. She has strong programming skills in R, Python, C/C++ and has published several journal articles and conference papers. She received her Ph.D in Statistics from Carnegie Mellon University in 2012.
A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Topic: Generating Synthetic Data with Generative Adversarial Networks: Opportunities and Challenges
Limited data access continues to be a barrier to data-driven product development. In this talk, we explore if and how generative adversarial networks (GANs) can be used to incentivize data sharing by enabling a generic framework for sharing synthetic datasets with minimal expert knowledge.
We identify key challenges of existing GAN approaches with respect to fidelity (e.g., capturing complex multidimensional correlations, mode collapse) and privacy (i.e., existing guarantees are poorly understood and can sacrifice fidelity).
To address fidelity challenges, we discuss our experiences designing a custom workflow called DoppelGANger and demonstrate that across diverse real-world datasets (e.g., bandwidth measurements, cluster requests, web sessions) and use cases (e.g., structural characterization, predictive modeling, algorithm comparison), DoppelGANger achieves up to 43% better fidelity than baseline models.
With respect to privacy, we identify fundamental challenges with both classical notions of privacy as well as recent advances to improve the privacy properties of GANs, and suggest a potential roadmap for addressing these challenges.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 from 4-7:30pm at 2603 Camino Ramon #200, San Ramon, CA 94583, USA. Prominent speakers will discuss advances in deep learning tools and techniques from leading innovators across industry, research, and the financial sector. Attendees will learn about AI's latest real-world impact and gather cutting-edge insights from pioneers in their industry.
Eric Siegel is a data analytics consultant who has over 20 years of experience applying predictive analytics and data mining to solve business problems. He has held leadership roles defining analytics strategies and developing predictive models for applications such as sales forecasting and customer attrition. Siegel also has experience discovering and preparing data from disparate sources, and communicating technical analytics concepts to business audiences.
John H. Muller has over 20 years of experience in analytics, statistical modeling, and quantitative finance. He currently works as a Vice President and Associate Portfolio Manager at Acadian Asset Management, where he develops analytical tools and conducts research projects. Prior to this, he held data science and analytics roles at several other financial firms, and has a Ph.D. in Computer Science.
Presentation about new indicators for innovation missions focusing on the mission to transform the prevention, diagnosis and treatment of AI, given at the EMAEE conference, University of Sussex 5 June 2019.
II-SDV 2014 Search and Data Mining Open Source Platforms (Patrick Beaucamp - ...Dr. Haxel Consult
The document discusses open source search engine and data mining platforms. It provides an overview of popular platforms like Lucene, Solr, Elasticsearch and Hadoop-based platforms. It also discusses features expected in search engines and interfaces. Classification, clustering and association rule mining algorithms for data mining tasks are explained along with applications. References for search and data mining platforms and algorithms are provided.
Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.
Rhiannon Weaver is a statistician with over 8 years of experience analyzing large data sets for a Federally Funded Research and Development Center. She has extensive experience analyzing billion-record data sets and building statistical methods for analysis at scale. She has strong programming skills in R, Python, C/C++ and has published several journal articles and conference papers. She received her Ph.D in Statistics from Carnegie Mellon University in 2012.
A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Topic: Generating Synthetic Data with Generative Adversarial Networks: Opportunities and Challenges
Limited data access continues to be a barrier to data-driven product development. In this talk, we explore if and how generative adversarial networks (GANs) can be used to incentivize data sharing by enabling a generic framework for sharing synthetic datasets with minimal expert knowledge.
We identify key challenges of existing GAN approaches with respect to fidelity (e.g., capturing complex multidimensional correlations, mode collapse) and privacy (i.e., existing guarantees are poorly understood and can sacrifice fidelity).
To address fidelity challenges, we discuss our experiences designing a custom workflow called DoppelGANger and demonstrate that across diverse real-world datasets (e.g., bandwidth measurements, cluster requests, web sessions) and use cases (e.g., structural characterization, predictive modeling, algorithm comparison), DoppelGANger achieves up to 43% better fidelity than baseline models.
With respect to privacy, we identify fundamental challenges with both classical notions of privacy as well as recent advances to improve the privacy properties of GANs, and suggest a potential roadmap for addressing these challenges.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 from 4-7:30pm at 2603 Camino Ramon #200, San Ramon, CA 94583, USA. Prominent speakers will discuss advances in deep learning tools and techniques from leading innovators across industry, research, and the financial sector. Attendees will learn about AI's latest real-world impact and gather cutting-edge insights from pioneers in their industry.
Swapna Tammishetty CV-Business & Systems Analyst-Data Analyst-Crystal Reports...Swapna Tammishetty
Swapna Tammishetty has over 11 years of experience in data warehousing, business intelligence, and analytics. She has worked on projects involving technologies like Teradata, Crystal Reports, and Tableau. Some of her responsibilities have included requirements gathering, data modeling, ETL development, testing, and providing support. She has extensive experience in the healthcare domain working with clients such as Anthem and analyzing ACA/HIX data.
Geo spatial analytics using Microsoft BIJason Thomas
The document summarizes a presentation on geospatial analytics using Microsoft BI tools. It provides an agenda for the presentation including an overview of why geospatial analytics is useful and a demo of tools like Power View, GeoFlow, and SQL Server Reporting Services. It discusses how each tool can be used for interactive data visualization and exploration of geographic data on maps and globes. The presentation aims to illustrate which Microsoft BI tools are best suited for different types of geospatial analysis and when to use each tool.
Harry Grossman is an experienced Chief Information Officer with over 30 years of experience in IT management, strategy, and operations. He has held CIO roles at The Jewish Museum in New York City and has also consulted for several healthcare organizations. He has a proven track record of designing and implementing efficient infrastructure upgrades, establishing IT best practices, and managing budgets and vendors effectively. His core strengths include strategic planning, network administration, security protocols, and staff development.
This document provides the resume of Miguel Ladislao Colquicocha Martinez, including his education, relevant experience, languages, and publications. It details his law degree from Universidad Nacional de Rosario as well as his economics degree expected in March 2016. His experience includes work as an administrative worker at a court house, assistant prosecutor, and establishing his own hostel business and law/economics teaching institute.
Joseph A. Denicola Jr. is a results-driven behavioral health executive with over 20 years of experience in both acute care and outpatient settings. He has a proven track record of taking underperforming organizations and improving key metrics such as costs, revenue, daily census, and patient outcomes. Most recently, he served as CEO of Arrowhead Behavioral Health, where he led a turnaround, secured new referral agreements, and managed daily operations.
Vivien E. Sandu has over 30 years of experience working in executive assistant and administrative roles. She has a strong educational background, including degrees from multiple universities. Her experience includes roles at financial institutions like Alliance Capital and Dean Witter Reynolds, where she supported executives and managed their schedules, reports, presentations, and travel. She also has experience working for smaller businesses and providing temporary administrative support.
This document provides a resume and qualifications summary for Fred Jabbari. It outlines his experience as a senior consultant, software engineer, and architect with specialties in cloud-based microservices using Docker and related technologies. It details his 25+ years of industry experience in areas like Java, .NET, SOA, microservices, mobile apps, and Agile methodologies. It also lists technologies he has worked with such as Spring, Hibernate, Elasticsearch, AWS, and virtualization/container tools.
This document is a resume for Seema Bhambhani outlining her education, technical skills, professional experience, and graduate projects. She received a Master of Science in Information Systems Technology from The George Washington University and a Bachelor of Engineering in Information Technology from University of Mumbai. Her technical skills include programming languages like SQL, Java, and C++ as well as tools like Oracle, Tableau, and SAS. She has over 5 years of work experience in consulting roles utilizing her Oracle and data analytics skills. Her most recent role is as an Associate Consultant at Revenue Solutions Inc where she performs ETL and report generation.
Haoxin Zhang is seeking a senior software engineer or system architect position. He has over 15 years of experience designing and implementing large scale web and enterprise applications using technologies like Java, J2EE, Spring, Hibernate, Oracle, and more. His background includes projects for companies like Verizon, FedEx, and Jeppesen.
Patricia Ann Hardwick is an adjunct professor at Hofstra University and has previously lectured at Yale University. She received her PhD in Folklore and Anthropology from Indiana University in 2009. Her research focuses on traditional performing arts in Southeast Asia, particularly Mak Yong performances in Malaysia. She has published articles on Mak Yong, Kuda Kepang performances in Singapore, and Peranakan identity in Singapore. Hardwick has also lectured widely and consulted on cultural performances in Singapore.
Joy S. Harris is seeking a paralegal or administrative assistant position where she can utilize her Associate's degrees in Paralegal Studies and Liberal Arts. She has excellent legal research, writing, and Microsoft Office skills. Her past work includes positions in retail sales, customer service, and adult literacy tutoring. She maintains a 3.5+ GPA and has received several academic awards and honors.
Bill Chang has extensive experience in machine learning, computer vision, and software engineering. He has worked as a research assistant and data scientist applying these skills to various projects. Some of his responsibilities included developing tools to gather and analyze human behavior data using Amazon Mechanical Turk, creating features for the Archive of Many Outdoor Scenes website, and publishing papers on detecting physical activity from webcam images. Bill Chang has strong skills in Python, Java, C++, and machine learning algorithms and seeks a role where he can continue solving problems through data-driven approaches.
The document provides details about Henry McKelvey's career and experience. It summarizes that he is a senior software engineer with extensive experience in data communications, systems testing, network engineering, and information technology. Some of his current roles include supporting railway communication projects, testing potential interference to wireless systems, and teaching cybersecurity courses as an adjunct professor.
Abigail Moore is an education librarian at the University of South Dakota. She has a BA in English Literature from Lehigh University, a MS in Secondary English Education from City College of New York, and a MLS from Queens College. Her career experiences include serving on ALA and state library committees and coordinating reference services. Prior to her current role, she worked as a high school English teacher and library media specialist. Her research focuses on literacy and library marketing.
Karl Grittner is a web developer and system analyst with skills in technologies like jQuery, Marionette, C#, PHP, MSSQL, and MYSQL. He has over 5 years of experience developing websites, applications, and digital solutions. His objective is to obtain a position as a web developer in a challenging environment that utilizes teamwork.
Crystal Naomi Crosby is a digital brand strategist with extensive experience in social media, communication, and branding. She has over 10 years of experience developing social media strategies, managing digital branding and properties, and building relationships. Her technical skills include platforms like Twitter, LinkedIn, CMS systems, and design tools like Photoshop. She holds an MA in Communication from Regent University and a BA in Communication and Public Relations from George Mason University.
Eric Siegel is a data analytics consultant who has over 20 years of experience applying predictive analytics and data mining to solve business problems. He has held leadership roles defining analytics strategies and developing predictive models for applications such as sales forecasting and customer attrition. Siegel also has experience discovering and preparing data from disparate sources, and communicating technical analytics concepts to business audiences.
The document provides information about various roles that are important for an expert semantic technology team, including information scientists, information architects, cognitive scientists, developers, business analysts, leaders, project managers, security experts, and legal advisors, briefly outlining some of the key responsibilities for each role.
Martin Dudziak SME DD BDA Resume June2012martindudziak
Martin Dudziak has over 20 years of experience in business analysis, technology evaluation, project management, and consulting. He has expertise in domains such as finance, healthcare, defense, and e-commerce. His experience includes roles at Intel, a startup he co-founded, a university, and as an independent consultant. He has strong skills in requirements analysis, software development, and implementing new business models and technologies.
Students will be able to work as
research assistants in academia and industry.
Entrepreneurship: Students can start their own
data science consulting firms or startups.
Higher Education: Students will be well
prepared for advanced degrees in Data Science,
Computer Science, Statistics or related fields.
Joel Zucker is a technical lead and project manager with over 10 years of experience in software development, implementation, and business needs assessment across multiple industries. He has a track record of successfully directing teams through all phases of projects from requirements to development to implementation, on time and under budget. Zucker's experience includes increasing company revenues from $5M to $20M through a client tracking system, coordinating projects with budgets up to $300K, and generating millions in grant funding leading learning technology research.
Swapna Tammishetty CV-Business & Systems Analyst-Data Analyst-Crystal Reports...Swapna Tammishetty
Swapna Tammishetty has over 11 years of experience in data warehousing, business intelligence, and analytics. She has worked on projects involving technologies like Teradata, Crystal Reports, and Tableau. Some of her responsibilities have included requirements gathering, data modeling, ETL development, testing, and providing support. She has extensive experience in the healthcare domain working with clients such as Anthem and analyzing ACA/HIX data.
Geo spatial analytics using Microsoft BIJason Thomas
The document summarizes a presentation on geospatial analytics using Microsoft BI tools. It provides an agenda for the presentation including an overview of why geospatial analytics is useful and a demo of tools like Power View, GeoFlow, and SQL Server Reporting Services. It discusses how each tool can be used for interactive data visualization and exploration of geographic data on maps and globes. The presentation aims to illustrate which Microsoft BI tools are best suited for different types of geospatial analysis and when to use each tool.
Harry Grossman is an experienced Chief Information Officer with over 30 years of experience in IT management, strategy, and operations. He has held CIO roles at The Jewish Museum in New York City and has also consulted for several healthcare organizations. He has a proven track record of designing and implementing efficient infrastructure upgrades, establishing IT best practices, and managing budgets and vendors effectively. His core strengths include strategic planning, network administration, security protocols, and staff development.
This document provides the resume of Miguel Ladislao Colquicocha Martinez, including his education, relevant experience, languages, and publications. It details his law degree from Universidad Nacional de Rosario as well as his economics degree expected in March 2016. His experience includes work as an administrative worker at a court house, assistant prosecutor, and establishing his own hostel business and law/economics teaching institute.
Joseph A. Denicola Jr. is a results-driven behavioral health executive with over 20 years of experience in both acute care and outpatient settings. He has a proven track record of taking underperforming organizations and improving key metrics such as costs, revenue, daily census, and patient outcomes. Most recently, he served as CEO of Arrowhead Behavioral Health, where he led a turnaround, secured new referral agreements, and managed daily operations.
Vivien E. Sandu has over 30 years of experience working in executive assistant and administrative roles. She has a strong educational background, including degrees from multiple universities. Her experience includes roles at financial institutions like Alliance Capital and Dean Witter Reynolds, where she supported executives and managed their schedules, reports, presentations, and travel. She also has experience working for smaller businesses and providing temporary administrative support.
This document provides a resume and qualifications summary for Fred Jabbari. It outlines his experience as a senior consultant, software engineer, and architect with specialties in cloud-based microservices using Docker and related technologies. It details his 25+ years of industry experience in areas like Java, .NET, SOA, microservices, mobile apps, and Agile methodologies. It also lists technologies he has worked with such as Spring, Hibernate, Elasticsearch, AWS, and virtualization/container tools.
This document is a resume for Seema Bhambhani outlining her education, technical skills, professional experience, and graduate projects. She received a Master of Science in Information Systems Technology from The George Washington University and a Bachelor of Engineering in Information Technology from University of Mumbai. Her technical skills include programming languages like SQL, Java, and C++ as well as tools like Oracle, Tableau, and SAS. She has over 5 years of work experience in consulting roles utilizing her Oracle and data analytics skills. Her most recent role is as an Associate Consultant at Revenue Solutions Inc where she performs ETL and report generation.
Haoxin Zhang is seeking a senior software engineer or system architect position. He has over 15 years of experience designing and implementing large scale web and enterprise applications using technologies like Java, J2EE, Spring, Hibernate, Oracle, and more. His background includes projects for companies like Verizon, FedEx, and Jeppesen.
Patricia Ann Hardwick is an adjunct professor at Hofstra University and has previously lectured at Yale University. She received her PhD in Folklore and Anthropology from Indiana University in 2009. Her research focuses on traditional performing arts in Southeast Asia, particularly Mak Yong performances in Malaysia. She has published articles on Mak Yong, Kuda Kepang performances in Singapore, and Peranakan identity in Singapore. Hardwick has also lectured widely and consulted on cultural performances in Singapore.
Joy S. Harris is seeking a paralegal or administrative assistant position where she can utilize her Associate's degrees in Paralegal Studies and Liberal Arts. She has excellent legal research, writing, and Microsoft Office skills. Her past work includes positions in retail sales, customer service, and adult literacy tutoring. She maintains a 3.5+ GPA and has received several academic awards and honors.
Bill Chang has extensive experience in machine learning, computer vision, and software engineering. He has worked as a research assistant and data scientist applying these skills to various projects. Some of his responsibilities included developing tools to gather and analyze human behavior data using Amazon Mechanical Turk, creating features for the Archive of Many Outdoor Scenes website, and publishing papers on detecting physical activity from webcam images. Bill Chang has strong skills in Python, Java, C++, and machine learning algorithms and seeks a role where he can continue solving problems through data-driven approaches.
The document provides details about Henry McKelvey's career and experience. It summarizes that he is a senior software engineer with extensive experience in data communications, systems testing, network engineering, and information technology. Some of his current roles include supporting railway communication projects, testing potential interference to wireless systems, and teaching cybersecurity courses as an adjunct professor.
Abigail Moore is an education librarian at the University of South Dakota. She has a BA in English Literature from Lehigh University, a MS in Secondary English Education from City College of New York, and a MLS from Queens College. Her career experiences include serving on ALA and state library committees and coordinating reference services. Prior to her current role, she worked as a high school English teacher and library media specialist. Her research focuses on literacy and library marketing.
Karl Grittner is a web developer and system analyst with skills in technologies like jQuery, Marionette, C#, PHP, MSSQL, and MYSQL. He has over 5 years of experience developing websites, applications, and digital solutions. His objective is to obtain a position as a web developer in a challenging environment that utilizes teamwork.
Crystal Naomi Crosby is a digital brand strategist with extensive experience in social media, communication, and branding. She has over 10 years of experience developing social media strategies, managing digital branding and properties, and building relationships. Her technical skills include platforms like Twitter, LinkedIn, CMS systems, and design tools like Photoshop. She holds an MA in Communication from Regent University and a BA in Communication and Public Relations from George Mason University.
Eric Siegel is a data analytics consultant who has over 20 years of experience applying predictive analytics and data mining to solve business problems. He has held leadership roles defining analytics strategies and developing predictive models for applications such as sales forecasting and customer attrition. Siegel also has experience discovering and preparing data from disparate sources, and communicating technical analytics concepts to business audiences.
The document provides information about various roles that are important for an expert semantic technology team, including information scientists, information architects, cognitive scientists, developers, business analysts, leaders, project managers, security experts, and legal advisors, briefly outlining some of the key responsibilities for each role.
Martin Dudziak SME DD BDA Resume June2012martindudziak
Martin Dudziak has over 20 years of experience in business analysis, technology evaluation, project management, and consulting. He has expertise in domains such as finance, healthcare, defense, and e-commerce. His experience includes roles at Intel, a startup he co-founded, a university, and as an independent consultant. He has strong skills in requirements analysis, software development, and implementing new business models and technologies.
Students will be able to work as
research assistants in academia and industry.
Entrepreneurship: Students can start their own
data science consulting firms or startups.
Higher Education: Students will be well
prepared for advanced degrees in Data Science,
Computer Science, Statistics or related fields.
Joel Zucker is a technical lead and project manager with over 10 years of experience in software development, implementation, and business needs assessment across multiple industries. He has a track record of successfully directing teams through all phases of projects from requirements to development to implementation, on time and under budget. Zucker's experience includes increasing company revenues from $5M to $20M through a client tracking system, coordinating projects with budgets up to $300K, and generating millions in grant funding leading learning technology research.
This document provides information about the 10th Team Software Process Symposium taking place in Mexico City on February 23-24, 2016. The symposium, organized by Carnegie Mellon University's Software Engineering Institute, will bring together 350-400 executives and professionals to discuss software development techniques. It will feature keynote speakers, workshops, and panels on topics like the Team Software Process, CMMI, Agile methodologies, and new technologies. The goal is to promote best practices in software, services, and business.
Michael P. Ridley is an experienced IT leader with over 12 years of management experience and 15 years of IT experience. He has global experience across the US, Europe and Asia. Currently he is the Director of Business Development for the New York State Department of Economic Development, where he created and manages a $5 million program.
Operational research (OR) uses analytical techniques to improve decision-making and efficiency. It encompasses problem-solving methods applied to optimize performance. OR analyzes systems through mathematical modeling, simulation, and other techniques. It aims to make the best use of resources by carefully planning and analyzing processes. Examples of OR applications include scheduling, facility planning, forecasting, yield management, and defense logistics. The field originated from military planning in World War II and has since expanded to business, industry, and public policy problems.
The document announces an upcoming AI and OpenPOWER meetup event on March 25, 2018 in San Ramon, CA from 4:00 pm to 7:30 pm. Prominent speakers will discuss latest advances in deep learning tools and techniques from industry, research, and the financial sector. The meetup aims to share cutting-edge insights from pioneers in different industries.
Data Science Course in Paschim Vihar (1).pptxamitk971644
Want to excel in data science? Enroll in our cutting-edge course at Dynamic FutureTech in Paschim Vihar. Get hands-on experience and launch your career today!
This document discusses security issues related to moving from single cloud to multi-cloud environments. It first provides background on the increased use of cloud computing and the privacy and security concerns organizations have in using single cloud providers. It then discusses the trend toward multi-cloud/inter-cloud environments to address issues like availability and potential insider threats. The document examines research on security issues in single and multi-cloud environments and outlines the objective to automatically block attackers and securely compute data across clouds.
Running head PROFESSIONAL INTERVIEW REPORT 1PROFESSIONAL INT.docxjeanettehully
The document summarizes an interview conducted with a computer engineer and web developer who works as a technical manager. The interview lasted 30 minutes over Skype and covered challenges in the field of computer science. According to the interviewee, key challenges include gender disparities in education, the need for constant updates to keep up with changing technologies like big data and the internet of things, and emerging areas like artificial intelligence. The summary identifies several topics raised in the interview that would benefit from further research.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 in San Ramon, California from 4-7:30pm where attendees can learn about the latest advances in artificial intelligence and deep learning tools from industry leaders and pioneers and discuss how these technologies are impacting their industries. Prominent speakers will discuss topics ranging from machine learning performance and best practices to AI research at NASA and scalable machine learning with Apache SystemML on Power systems. The meetup aims to gather cutting-edge insights on AI from innovators across different sectors.
This document provides an introduction and overview of data science. It discusses Ravishankar Rajagopalan's educational and professional background working in data science. It then covers various topics related to data science including common applications, required skills, the typical project lifecycle, team aspects, career progression, interviews, and resources for learning. Examples of unusual real-world applications are also summarized, such as using machine learning to optimize inventory levels for an oil and gas company and implementing speech recognition to predict customer intent for a call center.
The document provides information on various job roles for MCA graduates:
1. Ethical hackers are responsible for accessing networks and systems to identify security vulnerabilities for owners.
2. Business analysts help startups with new ideas and analyzing the market.
3. Database engineers design and monitor complex databases, providing data organization, functionality and relevance.
4. Troubleshooters resolve hardware and software issues to deliver projects on time.
5. App developers design, build, maintain and ensure proper functioning of mobile apps across platforms.
6. Technical writers produce documentation like manuals and product descriptions.
7. Manual testers play the role of end-users to thoroughly test software for faults.
Amira Saleh has over 20 years of experience in information technology management, web application development, and biosciences research. She is seeking a challenging position that utilizes her skills in IT, project management, marketing, and biological research. Her experience includes roles as an IT consultant, network manager, systems analyst, and graduate research assistant studying carcinogen risk assessment and marine bacteria.
This document discusses the field of data science and the career opportunities it provides. It defines data science as a multidisciplinary field that uses scientific methods to gain knowledge from data. The key skills required for a data scientist include programming, quantitative analysis, communication skills, and intuition. R programming is presented as a popular tool for data scientists due to its versatility and large community. Finally, data science is described as a growing field with many career opportunities and high salaries, driven by the shortage of data science talent and organizations' need to make sense of large data sets.
Similar to resume for work in predictive analytics (20)
Este documento analiza el modelo de negocio de YouTube. Explica que YouTube y otros sitios de video online representan un nuevo modelo de negocio para contenidos audiovisuales debido al cambio en los hábitos de consumo causado por las nuevas tecnologías. Describe cómo YouTube aprovecha la participación de los usuarios para mejorar continuamente y atraer una audiencia diferente a la de los medios tradicionales.
The defense was successful in portraying Michael Jackson favorably to the jury in several ways:
1) They dressed Jackson in ornate costumes that conveyed images of purity, innocence, and humility.
2) Jackson was shown entering the courtroom as if on a red carpet, emphasizing his celebrity status.
3) Jackson appeared vulnerable, childlike, and in declining health during the trial, eliciting sympathy from jurors.
4) Defense attorney Tom Mesereau effectively presented a coherent narrative of Jackson as a victim and portrayed Neverland as a place of refuge, undermining the prosecution's arguments.
Michael Jackson was born in 1958 in Gary, Indiana and rose to fame in the 1960s as the lead singer of The Jackson 5, topping music charts in the 1970s. As a solo artist in the 1980s, his album Thriller broke music records. In the 1990s and 2000s, Jackson faced several legal issues related to child abuse allegations while continuing to release music. He married Lisa Marie Presley and Debbie Rowe and had two children before his death in 2009.
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...butest
This document appears to be a list of popular books from various authors. It includes over 150 book titles across many genres such as fiction, non-fiction, memoirs, and novels. The books cover a wide range of topics from politics to cooking to autobiographies.
The prosecution lost the Michael Jackson trial due to several key mistakes and weaknesses in their case:
1) The lead prosecutor, Thomas Sneddon, was too personally invested in the case against Jackson, having pursued him for over a decade without success.
2) Sneddon's opening statement was disorganized and weak, failing to effectively outline the prosecution's case.
3) The accuser's mother was not credible and damaged the prosecution's case through her erratic testimony, history of lies and con artist behavior.
4) Many prosecution witnesses were not credible due to prior lawsuits against Jackson, debts owed to him, or having been fired by him. Several witnesses even took the Fifth Amendment.
Here are three examples of public relations from around the world:
1. The UK government's "Be Clear on Cancer" campaign which aims to raise awareness of cancer symptoms and encourage early diagnosis.
2. Samsung's global brand marketing and sponsorship activities which aim to increase brand awareness and favorability of Samsung products worldwide.
3. The Brazilian government's efforts to improve its international image and relations with other countries through strategic communication and diplomacy.
The three most important functions of public relations are:
1. Media relations because the media is how most organizations reach their key audiences. Strong media relationships are crucial.
2. Writing, because written communication is at the core of public relations and how most information is
Michael Jackson Please Wait... provides biographical information about Michael Jackson including his birthdate, birthplace, parents, height, interests, idols, favorite foods, films, and more. It discusses his background, career highlights including influential albums like Thriller, and films he appeared in such as The Wiz and Moonwalker. The document contains photos and details about Jackson's life and illustrious music career.
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazzbutest
The document discusses the process of manufacturing celebrity and its negative byproducts. It argues that celebrities are rarely the best in their individual pursuits like singing, dancing, etc. but become famous due to being products of a system controlled by wealthy elites. This system stifles opportunities for worthy artists and creates feudalism. The document also asserts that manufactured celebrities should not be viewed as role models due to behaviors like drug abuse and narcissism that result from the celebrity-making process.
Michael Jackson was a child star who rose to fame with the Jackson 5 in the late 1960s and early 1970s. As a solo artist in the 1970s and 1980s, he had immense commercial success with albums like Off the Wall, Thriller, and Bad, which featured hit singles and groundbreaking music videos. However, his career and public image were plagued by controversies related to allegations of child sexual abuse in the 1990s and 2000s. He continued recording and performing but faced ongoing media scrutiny into his private life until his death in 2009.
Social Networks: Twitter Facebook SL - Slide 1butest
The document discusses using social networking tools like Twitter and Facebook in K-12 education. Twitter allows students and teachers to share short updates and can be used to give parents a window into classroom activities. Facebook allows targeted advertising that could be used to promote educational activities. Both tools could help facilitate communication between schools and communities if used properly while managing privacy and security concerns.
Facebook has over 300 million active users who log on daily, and allows brands to create public profile pages to interact with users. Pages are for brands and organizations only, while groups can be made by any user about any topic. Pages do not show admin names and have no limits on fans, while groups display admin names and are limited to 5,000 members. Content on pages should aim to provoke action from subscribers and establish a regular posting schedule using a conversational tone.
Executive Summary Hare Chevrolet is a General Motors dealership ...butest
Hare Chevrolet is a car dealership located in Noblesville, Indiana that has successfully used social media platforms like Twitter, Facebook, and YouTube to create a positive brand image. They invest significant time interacting directly with customers online to foster a sense of community rather than overtly advertising. As a result, Hare Chevrolet has built a large, engaged audience on social media and serves as a model for how brands can use online presences strategically.
Welcome to the Dougherty County Public Library's Facebook and ...butest
This document provides instructions for signing up for Facebook and Twitter accounts. It outlines the sign up process for both platforms, including filling out forms with name, email, password and other details. It describes how the platforms will then search for friends and suggest people to connect with. It also explains how to search for and follow the Dougherty County Public Library page on both Facebook and Twitter once signed up. The document concludes by thanking participants and providing a contact for any additional questions.
Paragon Software announces the release of Paragon NTFS for Mac OS X 8.0, which provides full read and write access to NTFS partitions on Macs. It is the fastest NTFS driver on the market, achieving speeds comparable to native Mac file systems. Paragon NTFS for Mac 8.0 fully supports the latest Mac OS X Snow Leopard operating system in 64-bit mode and allows easy transfer of files between Windows and Mac partitions without additional hardware or software.
This document provides compatibility information for Olympus digital products used with Macintosh OS X. It lists various digital cameras, photo printers, voice recorders, and accessories along with their connection type and any notes on compatibility. Some products require booting into OS 9.1 for software compatibility or do not support devices that need a serial port. Drivers and software are available for download from Olympus and other websites for many products to enable use with OS X.
To use printers managed by the university's Information Technology Services (ITS), students and faculty must install the ITS Remote Printing software on their Mac OS X computer. This allows them to add network printers, log in with their ITS account credentials, and print documents while being charged per page to funds in their pre-paid ITS account. The document provides step-by-step instructions for installing the software, adding a network printer, and printing to that printer from any internet connection on or off campus. It also explains the pay-in-advance printing payment system and how to check printing charges.
The document provides an overview of the Mac OS X user interface for beginners, including descriptions of the desktop, login screen, desktop elements like the dock and hard disk, and how to perform common tasks like opening files and folders. It also addresses frequently asked questions for Windows users switching to Mac OS X, such as where documents are stored, how to save or find documents, and what the equivalent of the C: drive is in Mac OS X. The document concludes with sections on file management tasks like creating and deleting folders, organizing files within applications, using Spotlight search, and an overview of the Dashboard feature.
This document provides a checklist for securing Mac OS X version 10.5, focusing on hardening the operating system, securing user accounts and administrator accounts, enabling file encryption and permissions, implementing intrusion detection, and maintaining password security. It describes the Unix infrastructure and security framework that Mac OS X is built on, leveraging open source software and following the Common Data Security Architecture model. The checklist can be used to audit a system or harden it against security threats.
This document summarizes a course on web design that was piloted in the summer of 2003. The course was a 3 credit course that met 4 times a week for lectures and labs. It covered topics such as XHTML, CSS, JavaScript, Photoshop, and building a basic website. 18 students from various majors enrolled. Student and instructor evaluations found the course to be very successful overall, though some improvements were suggested like ensuring proper software and pairing programming/non-programming students. The document also discusses implications of incorporating web design material into existing computer science curriculums.
1. ERIC SIEGEL, PH.D.
San Francisco, CA eric@predictionimpact.com
(415) 683 – 1146 evs@cs.columbia.edu
Solving business problems with predictive analytics and data mining.
SUMMARY
Business Analytics: Strategy, Design and Development. Consultative and leadership roles
defining predictive analytics and data mining methods for tactical and strategic applications.
Predicting potential annual account purchases for sales force resource allocation. Customer
attrition models. Translating 11 million records into three qualitative conclusions.
Data Resource Discovery and Assessment. Finding and preparing viable data across
disparate sources. Circumventing what is often the primary process bottleneck to an
analytics or metrics project: data acquisition. Discovering key internal and external sources
for necessary data. Data assessment, evaluation, interpretation, cleansing, "crunching,"
augmentation, unification and merging.
Communicating Analytics Technology in Business Language. Translating technical models
to business capabilities; translating business needs to technical models and requirements.
Experience at several organizations playing a role that spans between technical and business
roles; multilingual ability across various business and technology groups. Conducting various
industry training programs in data mining. Sales of data mining software for specific business
applications. Taught 29 graduate, undergraduate and equivalent university semesters,
including graduate courses in data mining and related technologies. Published 12 peer-
reviewed research papers, articles and chapters on advancements in data and text mining
algorithms; conducted public presentations as many times.
Management. Leadership roles defining requirements and project leadership as the
cofounder of two companies, and as a consultant to Fortune 500 companies. Project lead and
lead designer for a major government agency-sponsored data mining prototype. Also,
formed and led a team of 20 engineers to design and implement wireless application
platforms and solutions.
EXPERIENCE
Consulting in Analytics and Data Mining (Client engagement list available on request.)
Conference Chair, Predictive Analytics World (www.pawcon.com), 2009 –
Predictive Analytics World is the business-focused event for predictive analytics
professionals, managers and practitioners. This conference covers today's commercial
deployment of predictive analytics, across industries and across software vendors,
delivering case studies, expertise and resources in order to strengthen the business
impact delivered by predictive analytics.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
2. President, Prediction Impact, Inc. (www.predictionimpact.com), 2003 –
Predictive analytics services, data mining training, business intelligence software sales.
Clients range from Fortune 100 down to small R&D think tanks; a detailed client
engagement list is available on request. For client and peer references, see
http://www.linkedin.com/in/predictiveanalytics and click “View Full Profile”.
Advisor for Data Mining, Lucid Ventures/Radar Networks, 2001 - 2004
Lucid Ventures, led by the Internet industry pioneer who started Earthweb and Java
Gamelan, develops proprietary emerging technology ventures and provides strategic
services. Expertise and technical writing pertaining to data mining and “semantic web”.
SciTech Strategies (formerly Strategies for Science and Technology), 2004 - 2005
Text and trend mining to identify scientific research communities and their interactions.
Director of Technology Integration and Cofounder, CounterStorm, 2001 - 2003
CounterStorm, formerly System Detection, a spin-off from Columbia University's computer
science department, applies data mining to solve security problems.
• Resident scientist leading successful data mining research efforts
• Project lead and lead architect for a major government agency-sponsored data mining
system
• Supervise the transfer of data mining technology from Columbia's intrusion detection
research labs
• Writing of accepted research publications, successful research grant proposals reviewed
by widely-known national officials, contracted statements of work, and acclaimed
whitepapers
• Market research for the transition of university-based research property to industry
products
• Technical sales (acting systems engineer)
• In-house lead for patent-based intellectual property protection
• Direct involvement in venture fundraising, including the introduction of our lead investor
Chief Technology Officer and Cofounder, Kargo, 1999 - 2001
Formed and led a team of 20 engineers to design and implement wireless solutions, including
the open-sourced platform www.morphis.org, premium cross-carrier messaging solution
www.wapslap.com, and customer profile access control solution, Preference Management
Technology. The latter is an early embodiment of the same conceptual contributions in
policy-based user identity management Liberty Alliance (started by Sun) currently makes in
their second and third phases of standards adoptions. Led venture fundraising of $250,000,
and assisted in obtaining $2,750,000 as well as a term sheet for several million from a high
profile VC.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
3. Assistant Professor and Dept Rep, Computer Science, Columbia University, 1997 - 2001
Note: Full-time university professors begin with the "Assistant Professor" title.
• Teaching. Graduate courses focused on data mining
• Research. In data mining
• Teaching. Introductory courses, making technical concepts friendly to non-engineers
• Chair. Master’s Degree admissions committee (all final decisions), for 1.5 years
• Departmental Representative. To Columbia College
• Research Advisor. Advised and supervised student research
• Curriculum Development. Created and revised undergraduate and graduate curricula
• Recruitment. Recruited and interviewed faculty candidates
• Student Advisor. Academic and curriculum advisor to graduate & undergraduate
students
Technology Research, Columbia University, 1991 - 1997
Research areas: computational linguistics, machine learning and data mining.
Instructor, Johns Hopkins Center for Talented Youth, Summers 1996, 1997
Intensive college-level course for gifted adolescents. 35 class hours per week.
Research Affiliate, IBM T.J. Watson Research Center, Summer 1993
Data visualization, automatically adjusted according to human perceptual factors.
Network Engineer, IBM, Summer 1991
Implemented design modifications for an industrial network monitoring package.
Database Engineer, Physician's Computer Company, 1989 - 1990
Designed and architected a query language for a national pediatric medical billing system.
EDUCATION
Ph.D., Computer Science, Columbia University, 1997.
M.S., Computer Science, Columbia University, 1992.
B.A., Computer Science, Brandeis University, 1991.
TEACHING: INDUSTRY TRAINING AND UNIVERSITY COURSES
Predictive Analytics for Business, Marketing and Web
The techniques, tips and pointers needed to run a successful predictive analytics initiative.
http://www.predictionimpact.com/predictiveanalyticstraining.html
Several public sessions annually plus frequent on-site sessions to train client personnel.
Prediction Impact, Inc., 2003 – Present.
Predictive Analytics Applied
An online, self-paced course covering 40% of the above training program.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
4. http://www.predictionimpact.com/predictive-analytics-online-training.html
Prediction Impact, Inc., 2008 – Present
Getting Started with Data Mining
A non-technical primer for absolute beginners.
Salford Systems, August 2006.
Data Mining: Level I
Two-day strategic presentation of methods to derive business value from analytics.
The Modeling Agency, June 2004.
Data Mining: Level II
Two-day tactical drill-down of the data mining process, methods, techniques and resources
for predictive modeling.
The Modeling Agency, December 2005.
Data Mining: Level III
One-day hands-on application workshop for data mining practitioners.
The Modeling Agency, December 2005.
Hands-on Data Mining with Decision-Trees
Two-day course on CART.
Salford Systems, November 2003.
Machine Learning (graduate course on data mining and predictive analytics)
Columbia University, Fall 1997, Spring 1998 (video students), Spring 2000.
Advanced Intelligent Systems (graduate course on expert systems and data mining)
Columbia University, Spring 1999.
Artificial Intelligence (graduate course on knowledge management and data mining)
Columbia University, Fall 1999.
Introduction to Computers (elective course for non-majors)
Columbia University, Fall 1998 (2 sect.s), Spring 1999 (2 sect.s), Fall 1999, Spring 2000.
Introduction to Computer Science (for computer science majors)
Columbia University, Fall 1997, Spring 1998 (2 sections).
Theoretical Computer Science
Gifted junior high and high school students; equivalent to a college course.
Johns Hopkins Center for Talented Youth, 2 Sessions Summer 1996, 1 in 1997.
Introduction to Computer Programming in C (for non-majors)
Columbia University, Summers 1994 and 1995.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
5. Data Structures and Algorithms (for non-majors)
Columbia University, Fall 1994.
Computer Programming in C
Honors high school students; equivalent to a college course.
Columbia University Science Honors Program, 1992 - 1997 (10 Semesters).
Project Supervision. 11 undergraduate and honors high school
projects in data mining and computer science education,
Columbia University, 1994 - 1999.
Teaching Assistant. Columbia University, 1992-1993
Natural Language Processing (Text Mining); Computer Hardware; Sequential Logic Circuits
HONORS AND AWARDS
Finalist for The Columbia University Presidential Teaching Award, 2000. One of 19 finalists
of over 350 nominees. This is Columbia's primary lifetime career teaching award.
Distinguished Faculty Teaching Award for Excellence in Teaching, including Dedication to
Undergraduate Students, 1999, Columbia University School of Engineering and Applied
Sciences Alumni Association. Awarded to a total of 3 faculty who were nominated by
students and selected by alumni and students across 11 university departments.
http://www.engineering.columbia.edu/news/archive/fall99/gifted.php
Graduate Teaching Award, 1997, Columbia University, department of computer science.
Awarded in recognition of teaching excellence to a Ph.D. candidate.
Department Nominee for AT&T graduate fellowship program, 1995, Columbia University,
department of computer science.
Vermont Mathematics Finalist, 1987, 38th Annual American High School Mathematics
Examination.
City Chess Champion, 1982 (age 13), Burlington, Vermont “Booster” section -- the lower of
two sections, across all ages. Annual tournament in the largest city of Vermont.
PATENT APPLICATIONS
Siegel, Eric V.; Eskin, Eleazar; Chaffee, Alexander D.; and Zhong, Zhi-Da, “Access Control
Protocol for User Profile Management.”
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
6. Seth Robertson, “Detecting Probes and Scans Over High-Bandwidth, Long-Term,
Incomplete Network Traffic Information Using Limited Memory.” (Author of contributions,
claims, title; not inventor)
DATA MINING TECHNOLOGY
Data Mining Software: CART (Salford Systems), Affinium Model (Unica), Model 1
(Group 1), Enterprise Miner (SAS), PASW Modeler (formerly Clementine) (SPSS), Weka,
GPQuick. Supervision of projects conducted with R and ThinkAnalytics.
Languages: SAS, S, Splus, Mathematica, AWK, Perl, Java, C, C++, SQL, LISP, Prolog,
Python.
Analytics Methodology: linear regression, log-linear regression, neural networks, decision
trees, naive bayes, bayes networks, genetic algorithms, genetic programming, unsupervised
learning, clustering, text mining.
TECHNOLOGY AND RESEARCH PUBLICATIONS
Eric V. Siegel, “Six Ways to Lower Costs with Predictive Analytics,” http://www.b-eye-
network.com/view/12269, BeyeNETWORK, January, 2010.
Eric V. Siegel, “Casual Rocket Scientists: An Interview with a Layman Leading the Netflix
Prize,” http://www.predictiveanalyticsworld.com/layman-netflix-leader.php, Predictive
Analytics World, September, 2009.
Eric V. Siegel, “Predictive Analytics Delivers Value Across Business Applications,”
http://www.b-eye-network.com/view/9392 or
http://www.predictiveanalyticsworld.com/businessapplications.php, BeyeNETWORK,
January, 2009. This article summarizes the wide range of business applications of predictive
analytics, each of which predicts a different type of customer behavior in order to automate
operational decisions. A named case study is linked for each of eight pervasive commercial
applications of predictive analytics.
Eric V. Siegel, “Predictive analytics for revenue-generating response models,”
http://www.dmnews.com/Predictive-analytics-for-revenue-generating-response-
models/article/100580/, DMNews, January, 2008.
Eric V. Siegel, “Predictive Analytics' Killer App: Retaining New Customers,”
http://www.dmreview.com/article_sub.cfm?articleID=1086401, DM Review Magazine’s
Extended Edition, February, 2007.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
7. Eric V. Siegel, “Analytics + Business Expertise = Actionable Predictions for Each
Customer,” http://www.bettermanagement.com/library/library.aspx?LibraryID=12280,
BetterManagement.com, June, 2005.
Eric V. Siegel, “Predictive Analytics with Data Mining: How It Works,”
http://www.dmreview.com/specialreports/20050215/1019956-1.html, DM Review
Magazine’s DM Direct, February, 2005. In top 3 Google results for “predictive analytics”,
2005 – 2008; top 10 through 2009.
Eric V. Siegel, “Driven with Business Expertise, Analytics Produces Actionable
Predictions,” http://destinationcrm.com/articles/default.asp?ArticleID=3836, CRM
Magazine’s DestinationCRM, March, 2004.
Seth Robertson, Eric V. Siegel, Matthew Miller, and Salvatore J. Stolfo, “Surveillance
Detection in High Bandwidth Environments.” The Third DARPA Information Survivability
Conference and Exposition (DISCEX III), Washington, D.C., April, 2003.
Siegel, Eric V. and McKeown, Kathleen R. “Learning Methods to Combine Linguistic
Indicators: Improving Aspectual Classification and Revealing Linguistic Insights.”
Computational Linguistics, December, 2000.
Siegel, Eric V. “Corpus-Based Linguistic Indicators for Aspectual Classification.”
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics,
University of Maryland, College Park, MD, June, 1999.
Siegel, Eric V. “Disambiguating Verbs with the WordNet Category of the Direct Object.”
Usage of WordNet in Natural Language Processing Systems Workshop, Universite de
Montreal, August, 1998.
Siegel, Eric V. “Linguistic Indicators for Language Understanding: Using machine learning
methods to combine corpus-based indicators for aspectual classification of clauses,” Doctoral
dissertation, Columbia University, New York City, 1997.
Siegel, Eric V. “Learning methods for combining linguistic indicators to classify verbs.”
Proceedings of the Second Conference on Empirical Methods in Natural Language
Processing, Providence, RI, August, 1997.
Siegel, Eric V. and Chaffee, Alexander D. “Genetically optimizing the speed of programs
evolved to play Tetris.” In Advances in Genetic Programming: Volume 2, edited by P.J.
Angeline and K. Kinnear, MIT Press, Cambridge, MA, 1996.
Siegel, Eric V. and McKeown, Kathleen R. “Gathering statistics to aspectually classify
sentences with a genetic algorithm.” In Proceedings of the Second International Conference
on New Methods in Language Processing, Ankara, Turkey, Sept. 1996.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
8. Siegel, Eric V. “Genetic Programming: AAAI Fall Symposium Series Report,” AI Magazine,
1996.
Siegel, Eric V. and Koza, John R., editors. Genetic Programming: Papers from the AAAI
Fall Symposium, AAAI Technical Report FS-95-01, Cambridge, MA, 1995.
Siegel, Eric V. “Competitively evolving decision trees against fixed training cases for
natural language processing.” In Advances in Genetic Programming, edited by K. Kinnear,
MIT Press, Cambridge, MA, 1994.
Siegel, Eric V. and McKeown, Kathleen R. “Emergent linguistic rules from inducing
decision trees: disambiguating discourse clue words.” In Proceedings of the Twelfth
National Conference on Artificial Intelligence, Seattle, WA, July 1994.
DATA MINING AND COMPUTER SCIENCE EDUCATION PUBLICATIONS
Siegel, Eric V. “Iambic IBM AI: The Palindrome Discovery AI Project.” 31st Technical
Symposium of the ACM Special Interest Group in Computer Science Education, March,
2000.
Siegel, Eric V. “Why Do Fools Fall Into Infinite Loops: Singing To Your Computer Science
Class.” 4th Annual Conference on Innovation and Technology in Computer Science
Education (SIGCSE-sponsored), Cracow University of Economics, Cracow, Poland, June,
1999.
Eskin, Eleazar and Siegel, Eric V. “Genetic Programming Applied to Othello: Introducing
Students to Machine Learning Research.” 30th Technical Symposium of the ACM Special
Interest Group in Computer Science Education, New Orleans, LA, March, 1999.
CONFERENCE ORGANIZATION AND REVIEWING
Founding Chair: Predictive Analytics World Conference, 2009 - present.
www.predictiveanalyticsworld.com
Co-Chair: AAAI Fall Symposium on Genetic Programming, MIT, 1995. Gathered a
committee, coordinated submission reviews, organized and ran three days of presentations
and activities, co-edited a volume of 19 accepted papers (see above publication), and
compiled a “brain-storming” archive: www.cs.columbia.edu/~evs/gpsym95.html
Reviewer for Publications:
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing
9. • Editor, The Open Directory Project (the largest, most comprehensive human-edited
directory of the Web), category: Data Mining Consultants, http://dmoz.org/Computers/
Software/Databases/Data_Mining/Consultants/ 2005 - 2007
• The Journal of Machine Learning Research, 2005
• The Handbook of Information Security, John Wiley & Sons, Inc., 2005
• Computational Linguistics, 2000
• IEEE Transactions on Evolutionary Computation, 1997
• Advances in Genetic Programming: Volume 2 (MIT Press), 1996
Program Committees:
• ACM International Conference on Knowledge Discovery & Data Mining, 2005 & 2007
• Technical Symposium of the ACM SIG in Computer Science Education, 1998 & 2000
• International Conference on Genetic Algorithms, 1995 and 1997
• Annual Conference on Genetic Programming, 1996 and 1997
• International Conference on Parallel Problem Solving from Nature, 1997
• Ph.D. Thesis Committee for Dr. Adam Wilcox, in medical informatics and data mining
• Association for Computational Linguistics Student Session, 1998
DataShaping Certified
HOBBIES AND EXTRACURRICULAR
• Theater. Acted in 22 plays (2 at Actor’s Theatre of San Francisco), 3 student films
• Mediocre professional musician. (Off-off Broadway; Carnegie Hall when I was 16)
• Great amateur musician. (Educational computer science songs – high student ratings)
• Non-fictional writing, travel, meditation, color-blind.
Eric Siegel, Ph.D.
Prediction Impact, Inc.
Predictive analytics for business and marketing