Rishitha Chennupati has a Master's degree in Computer Science from Northwestern University and a Bachelor's degree in Electronics and Communications Engineering from Jawaharlal Nehru Technological University. She currently works as a Business Process Analyst at ZS Associates, where she has led several data warehouse and reporting projects in healthcare. Previously, she worked as a Systems Engineer at Infosys, where she developed ETL processes and implemented data warehousing solutions for clients in energy and banking. She has skills in languages like Java, C#, SQL and tools like Datastage, Oracle and Microsoft BI.
The current model of creating and accessing actionable student level analytics is broken or non-existent. Brainbox Consulting's PLINTH program provides administrators and Student Intervention Teams (SIT) with the full set of student data reports within minutes, not weeks. PLINTH allows you to focus on the student, not on gathering data.
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...Edureka!
** Data Science Certification using R: https://www.edureka.co/data-science **
In this PPT on Data Science Tutorial, you’ll get an in-depth understanding of Data Science and you’ll also learn how it is used in the real world to solve data-driven problems. It’ll cover the following topics in this session:
Need for Data Science
Walmart Use case
What is Data Science?
Who is a Data Scientist?
Data Science – Skill set
Data Science Job roles
Data Life cycle
Introduction to Machine Learning
K- Means Use case
K- Means Algorithm
Hands-On
Data Science certification
Blog Series: http://bit.ly/data-science-blogs
Data Science Training Playlist: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
CBIG Event June 20th, 2013. Presentation by Albert Khair. “Emerging Trends in...Subrata Debnath
Join Albert for his presentation which will focus on key emerging trends in Business Intelligence (BI) and Analytics. He will identify ways in which an enterprise can organize capacities for successfully leveraging continually advancing tools and technologies in the Analytics space with the goal of developing and deploying optimal business value in the most effective and efficient manner. Lexmark International achieved operational excellence and order of magnitude efficiencies in reporting performance and user satisfaction by integrating data from various functional silos with disparate BI standards into SAP HANA (High Performance ANalytic Appliance) and then leveraging BusinessObjects BI 4.0 for meeting complex BI analytics, report development, and end-user requirements.
N. Albert Khair is a Business Intelligence, Enterprise Architecture and Data Warehousing expert and has worked in Information Technology (IT) for more than 25 years and is currently employed by Lexmark International headquartered in Lexington, Kentucky. Albert’s work experience within the continental U.S. and abroad spans both public and private sectors, including government, insurance, consulting, airlines and high-tech electronics industries. Albert's functional areas of focus include: Oracle ERP, SAP ERP, SAP NetWeaver, SAP BusinessObjects BI4.0, Supply Chain, Finance, Sales and Distribution, SAP BW, SAP HANA/RDS. Albert has been published in Information Week, a magazine for business and technology managers, and has presented at SAP Insider and ASUG (Americas SAP Users Group) at their national and regional conferences.
Data Scientist Job, Career & Salary | Data Scientist Salary | Data Science Ma...Edureka!
** Data Scientist Master Program:https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka "Data Science Jobs, Careers and Salaries" PPT talks all things career in the Data Science. It explains why Data Science is the best career move, right now. Learn about various job roles, salary trends and learning paths in Data Science. Below are the topics covered in this module:
1. Overview of the Market
2. Market trends and Projections
3. Salary Trends
4. Companies Hiring Data Science Professionals
5. Eligibility
6. Current Roles offered in Data Science
7. Skills Required for a job in Data Science
8. Data Science Masters Program@ Edureka
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Levi Thatcher, Health Catalyst Director of Data Science and his team provide a live demonstration using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi goes through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions are answered during the session.
During the webinar, we will:
Describe and install healthcare.ai
Build and evaluate a machine learning model
Deploy interpretable predictions to SQL Server
Discuss the process of deploying into a live analytics environment.
If you’d like to follow along, you should download and install R and RStudio prior to the event. We look forward to you joining us!
The current model of creating and accessing actionable student level analytics is broken or non-existent. Brainbox Consulting's PLINTH program provides administrators and Student Intervention Teams (SIT) with the full set of student data reports within minutes, not weeks. PLINTH allows you to focus on the student, not on gathering data.
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...Edureka!
** Data Science Certification using R: https://www.edureka.co/data-science **
In this PPT on Data Science Tutorial, you’ll get an in-depth understanding of Data Science and you’ll also learn how it is used in the real world to solve data-driven problems. It’ll cover the following topics in this session:
Need for Data Science
Walmart Use case
What is Data Science?
Who is a Data Scientist?
Data Science – Skill set
Data Science Job roles
Data Life cycle
Introduction to Machine Learning
K- Means Use case
K- Means Algorithm
Hands-On
Data Science certification
Blog Series: http://bit.ly/data-science-blogs
Data Science Training Playlist: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
CBIG Event June 20th, 2013. Presentation by Albert Khair. “Emerging Trends in...Subrata Debnath
Join Albert for his presentation which will focus on key emerging trends in Business Intelligence (BI) and Analytics. He will identify ways in which an enterprise can organize capacities for successfully leveraging continually advancing tools and technologies in the Analytics space with the goal of developing and deploying optimal business value in the most effective and efficient manner. Lexmark International achieved operational excellence and order of magnitude efficiencies in reporting performance and user satisfaction by integrating data from various functional silos with disparate BI standards into SAP HANA (High Performance ANalytic Appliance) and then leveraging BusinessObjects BI 4.0 for meeting complex BI analytics, report development, and end-user requirements.
N. Albert Khair is a Business Intelligence, Enterprise Architecture and Data Warehousing expert and has worked in Information Technology (IT) for more than 25 years and is currently employed by Lexmark International headquartered in Lexington, Kentucky. Albert’s work experience within the continental U.S. and abroad spans both public and private sectors, including government, insurance, consulting, airlines and high-tech electronics industries. Albert's functional areas of focus include: Oracle ERP, SAP ERP, SAP NetWeaver, SAP BusinessObjects BI4.0, Supply Chain, Finance, Sales and Distribution, SAP BW, SAP HANA/RDS. Albert has been published in Information Week, a magazine for business and technology managers, and has presented at SAP Insider and ASUG (Americas SAP Users Group) at their national and regional conferences.
Data Scientist Job, Career & Salary | Data Scientist Salary | Data Science Ma...Edureka!
** Data Scientist Master Program:https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka "Data Science Jobs, Careers and Salaries" PPT talks all things career in the Data Science. It explains why Data Science is the best career move, right now. Learn about various job roles, salary trends and learning paths in Data Science. Below are the topics covered in this module:
1. Overview of the Market
2. Market trends and Projections
3. Salary Trends
4. Companies Hiring Data Science Professionals
5. Eligibility
6. Current Roles offered in Data Science
7. Skills Required for a job in Data Science
8. Data Science Masters Program@ Edureka
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Levi Thatcher, Health Catalyst Director of Data Science and his team provide a live demonstration using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi goes through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions are answered during the session.
During the webinar, we will:
Describe and install healthcare.ai
Build and evaluate a machine learning model
Deploy interpretable predictions to SQL Server
Discuss the process of deploying into a live analytics environment.
If you’d like to follow along, you should download and install R and RStudio prior to the event. We look forward to you joining us!
Continuous Improvement through Data Science From Products to Systems Beyond C...ijtsrd
The field of data science has become integral to the evolution of industries and technological advancements. This abstract explores the multifaceted role of data scientists in various domains, encompassing product and services development as well as specialized areas like Cyber Physical Systems. In product based companies, data scientists drive innovation by enhancing user experiences, optimizing costs, ensuring connectivity, and refining communication strategies. Leveraging machine learning models, they contribute to personalized interfaces, predictive maintenance, and efficient resource allocation, ultimately influencing the success of products in competitive markets. In services based companies, data scientists play a vital role in improving user interactions, optimizing operational costs, ensuring connectivity, and refining communication strategies. Through predictive analytics, they enable proactive service maintenance, improve resource allocation, and drive continuous improvement in service delivery. Within the context of Industry 4.0, data scientists contribute to the seamless integration of physical and digital systems. They monitor and analyze real time data from sensors, predict equipment failures, optimize system performance, and ensure the security of interconnected systems, fostering efficiency and reliability. Throughout these applications, data scientists operate at the nexus of technology, statistics, and domain expertise. Their responsibilities include data collection, preprocessing, model development, integration, and continuous improvement. Collaboration with cross functional teams ensures that data driven solutions align with organizational goals, fostering a holistic approach to problem solving. As the field of data science continues to evolve, data scientists remain pivotal in unlocking the potential of data to address complex challenges, drive innovation, and contribute to the ongoing transformation of industries and societies. Their role extends beyond analytical expertise, encompassing interdisciplinary collaboration skills that position them as essential contributors to the dynamic landscape of data driven decision making. Manish Verma "Continuous Improvement through Data Science: From Products to Systems: Beyond ChatGPT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61211.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61211/continuous-improvement-through-data-science-from-products-to-systems-beyond-chatgpt/manish-verma
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
1. Rishitha Chennupati
#3B-1600 Hinman Avenue, Evanston-60201, Illinois ∙ 240-478-0491| rishitha.chennupati2013@u.northwestern.edu
EDUCATION
Jan, 2012 NORTHWESTERN UNIVERSITY Evanston, IL
-Sep, 2013 Masters in Computer Science, Sep 2013 CGPA: 3.52/4.0 GRE: 1420
EMS Database Integration Project
Developed a pilot project to test the feasibility of integrating the Emergency Medical Services (EMS) data of stroke patients from heterogeneous data sources in Chicago into a single unified database.
Presented a poster titled “Pre-Hospital and Hospital Data Linkage in an Organized Stroke System of Care: A Pilot Study” at the International Stroke Conference 2014.
Database Management
Designed and created a University Database using MySQL to accommodate the student data on enrollment, fees, accommodation, details, area of study and the corresponding faculty. Studied Database management concepts related to schema design, development, establishing referential integrity and data retrieval using queries.
Summer 2012 Audited Business Strategy and Marketing Management Courses at the Kellogg School of Management.
2005-2009 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY Hyderabad, India
Bachelor of Technology in Electronics and Communications Engineering
PROFESSIONAL EXPERIENCE
August, 2013 ZS Associates, Evanston, IL
-Present Business Process Analyst
Worked on several Data Warehouse and Mobile Dashboard Reporting projects for major clients across the Healthcare industry.
Designed data models to create a comprehensive Sales and Marketing Data Warehouse to enable the clients analyze sales data and develop potential strategies to meet sales.
Partnered with the brand teams at a large Pharmaceutical manufacturer and headed the maintenance and operation of Master Data Management (MDM) for products and plans to enhance the client’s performance and compliance tracking systems.
Managed a multimillion dollar project spanning across US, Europe, Asia Pacific and Latin America for a leading medical devices manufacturer. During the course of the project, created project plans and tracked project status, developed budget tracking models, identified risks and recommended mitigation strategies to the senior management.
Garnered end to end experience ranging from overall project management, requirements gathering, design, development, testing and post go-live support planning over several projects.
Feb, 2010- INFOSYS LTD Bangalore, India
Nov, 2011 Systems Engineer
Developed ETL processes for a data-warehousing and staging project for a leading Global Energy Group client. Used a Data Federation and Virtualization tool called Composite.
Worked on a data-warehousing product of Infosys for a major banking client, and implemented data-staging with the help of IBI Data Migrator (Iway) an adhoc tool used for ETL.
Implemented real world ETL processes for a project using IBM InfoSphere Datastage after conducting the initial requirement gathering.
Completed 6 month training at the Global Education Centre at Infosys, Mysore with a CGPA of 4.86/5.
SKILLS
Languages C, JAVA, C#, RDBMS, UNIX scripting, SQL, Oracle, Perl scripting, Python, HTML
Tools & Eclipse, SVN, GIT, Composite, iWay IBI Data Migrator, Datastage, MySQL, Oracle DBMS, Visual Studio, SQL Methodologies Developer, MS Access, MS Excel, MS Project, MS Share Point, Teradata, BO Xcelsius and Informatica Siperian,
Microsoft Business Intelligence Suite (SSRS, SSAS, SSIS), SDLC
LEADERSHIP EXPERIENCE
Second runners-up, Deloitte Case Competition for Northwestern University ADCA
Marketing Department, Kellogg School of Management, Research Assistant
Conducted comprehensive literature review on the topics of mental accounting and emotional accounting.
Researched data to analyze the effects of TRIPS compliance of 60+ countries in-terms of market entry, innovation, parallel imports and price regulation in the pharmaceutical industry.
Project RISHI (Rural India Social and Health Improvement), Graduate Student Liaison
As an Executive Board member, lead fundraising initiatives in collaboration with other on-campus organizations and local businesses to increase organizational footprint.
Indian Graduate Students and Scholars Association (IGSSA), Publicity Chair
Lead publicity campaigns to promote IGSSA among the diverse audience at Northwestern in collaboration with other cultural organizations.
McCormick Graduate Leadership Council at Northwestern University, Member
Organized several events to promote interaction and involvement among graduate students.