Mohammad Wahid Ali is seeking a data analyst position at Nutek India Pvt. Ltd. He has over 3 years of experience in data analysis and administration. He is proficient in analytical tools like SAS, SQL, and Excel. He has experience preparing reports and presentations on metrics like demand, revenue, costs, and expenses. He is looking to leverage his skills in data design, analysis, and management to help the company achieve its long-term goals.
This document is a resume for Shirley McDonough outlining her objective, education, skills, and work experience. She is currently pursuing a B.S. in Data Management/Data Analytics with a projected graduation date of December 2018. Her experience includes roles as a Data Analyst/Database Administrator at AT&T analyzing customer data using SQL and presenting findings, and as a CCC Dialing Coordinator at The Scooter Store creating dialing campaigns and implementing enhancements to increase efficiency. She also has experience in management, customer support, and store management roles.
I am an accomplished certified Data Science professional with 8 + years of experience, looking for Data Scientist/Data Analyst/Data Engineer Position in a reputed organization. I have played strategic role in driving business solution and business growth through innovation and thought leadership in analytics technology/product domain. With an avid intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured and unstructured data. Able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration. Delivers efficient and reliable IT solutions and excels in building/leading teams in high-pressure environments. Have experience on Big Data Hadoop, Data Science, Data Mining, Business Intelligence & Analytics, Database Architecture and Incident Management area. In the recent past lot of my work has been in the Predictive & Prescriptive Analytics arena
Venkateswarlu Dama has over 16 years of experience in business analysis, testing, and financial analysis. He is currently a business analyst at GENPACT, where he works on the Fixed Income Content team. Previously, he spent over 4 years as a Senior Product Specialist and Business Analyst at S&P Global Market Intelligence, where he led several projects involving requirements gathering, design, and testing. He also has experience developing tools like a client database and sample generation tool.
Olivia Durowah is seeking a career as an analyst with strong experience in statistical modeling, data analysis, and data mining. She has over 3 years of experience developing predictive models using logistic regression, survival analysis, and other techniques in SAS and R. Her projects include models to predict credit card default, stock market movements, and customer response to offers. She is proficient in SAS, R, SQL, Excel and other tools and has experience extracting and analyzing structured and unstructured data from sources like Teradata.
Shiban SQ has a dual masters in business analytics and MBA with 3+ years of experience in analytics consulting, business creation, and project management. They led teams and managed client relationships. Research projects included machine learning tools like R, SAS, and Python, resulting in two co-authored papers. They have education in business analytics, marketing, and computer engineering. Relevant skills include predictive modeling, business intelligence, data visualization, project management, and languages like R, Python, SAS, and SQL. Professional experience includes research associate conducting machine learning research, creating models as a corporate manager, sales executive, and intern developing a business model.
This document is a resume for Vishal Deo summarizing his experience in business intelligence, data analytics, and related fields. Deo has a Master's degree in Information Systems from Drexel University and a Bachelor's in Computer Science. He has skills in data science, machine learning, writing SQL, data analysis, and creating business reports. Deo has worked as a data analyst and completed projects involving predicting endangered species and determining factory injuries. He is proficient in tools like Tableau, PowerBI, R, and Python.
The document is a resume for Nithin C that summarizes his experience in business intelligence solutions including data warehousing, ETL development, and data analytics. It lists his current role as a DW & ETL Analyst at Blue Cross Blue Shield where he works on an email notification project using SSIS and previous roles developing ETL workflows using Informatica and java projects using Spring and Hibernate frameworks.
Mohammad Wahid Ali is seeking a data analyst position at Nutek India Pvt. Ltd. He has over 3 years of experience in data analysis and administration. He is proficient in analytical tools like SAS, SQL, and Excel. He has experience preparing reports and presentations on metrics like demand, revenue, costs, and expenses. He is looking to leverage his skills in data design, analysis, and management to help the company achieve its long-term goals.
This document is a resume for Shirley McDonough outlining her objective, education, skills, and work experience. She is currently pursuing a B.S. in Data Management/Data Analytics with a projected graduation date of December 2018. Her experience includes roles as a Data Analyst/Database Administrator at AT&T analyzing customer data using SQL and presenting findings, and as a CCC Dialing Coordinator at The Scooter Store creating dialing campaigns and implementing enhancements to increase efficiency. She also has experience in management, customer support, and store management roles.
I am an accomplished certified Data Science professional with 8 + years of experience, looking for Data Scientist/Data Analyst/Data Engineer Position in a reputed organization. I have played strategic role in driving business solution and business growth through innovation and thought leadership in analytics technology/product domain. With an avid intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured and unstructured data. Able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration. Delivers efficient and reliable IT solutions and excels in building/leading teams in high-pressure environments. Have experience on Big Data Hadoop, Data Science, Data Mining, Business Intelligence & Analytics, Database Architecture and Incident Management area. In the recent past lot of my work has been in the Predictive & Prescriptive Analytics arena
Venkateswarlu Dama has over 16 years of experience in business analysis, testing, and financial analysis. He is currently a business analyst at GENPACT, where he works on the Fixed Income Content team. Previously, he spent over 4 years as a Senior Product Specialist and Business Analyst at S&P Global Market Intelligence, where he led several projects involving requirements gathering, design, and testing. He also has experience developing tools like a client database and sample generation tool.
Olivia Durowah is seeking a career as an analyst with strong experience in statistical modeling, data analysis, and data mining. She has over 3 years of experience developing predictive models using logistic regression, survival analysis, and other techniques in SAS and R. Her projects include models to predict credit card default, stock market movements, and customer response to offers. She is proficient in SAS, R, SQL, Excel and other tools and has experience extracting and analyzing structured and unstructured data from sources like Teradata.
Shiban SQ has a dual masters in business analytics and MBA with 3+ years of experience in analytics consulting, business creation, and project management. They led teams and managed client relationships. Research projects included machine learning tools like R, SAS, and Python, resulting in two co-authored papers. They have education in business analytics, marketing, and computer engineering. Relevant skills include predictive modeling, business intelligence, data visualization, project management, and languages like R, Python, SAS, and SQL. Professional experience includes research associate conducting machine learning research, creating models as a corporate manager, sales executive, and intern developing a business model.
This document is a resume for Vishal Deo summarizing his experience in business intelligence, data analytics, and related fields. Deo has a Master's degree in Information Systems from Drexel University and a Bachelor's in Computer Science. He has skills in data science, machine learning, writing SQL, data analysis, and creating business reports. Deo has worked as a data analyst and completed projects involving predicting endangered species and determining factory injuries. He is proficient in tools like Tableau, PowerBI, R, and Python.
The document is a resume for Nithin C that summarizes his experience in business intelligence solutions including data warehousing, ETL development, and data analytics. It lists his current role as a DW & ETL Analyst at Blue Cross Blue Shield where he works on an email notification project using SSIS and previous roles developing ETL workflows using Informatica and java projects using Spring and Hibernate frameworks.
An analytics professional with over six years of experience in Data and Predictive Analytics modeling across various industry verticals, including banking, retail, FMCG and telecommunications clients.
Graphs in Automotive and Manufacturing - Unlock New Value from Your DataNeo4j
This document discusses how graph databases like Neo4j can be used in automotive and manufacturing industries. It outlines use cases like supply chain management, warranty analytics, customer 360 views, and knowledge graphs. Examples are given of how graphs could help with supply chain optimization, predictive analytics, customer experience, and new product development. The presentation concludes with case studies of companies using Neo4j for applications such as integrated product data management, lessons learned databases, and product 360 views.
Bandhana Sinha is an experienced data analyst and project manager seeking new opportunities. She has over 3 years of experience in consulting and currently holds a Data Science certification from Stanford. Her skills include Tableau, R, SQL, and Microsoft Office. She creates interactive dashboards, analyzes financial data, and has experience managing projects.
Kevin Yang provides his contact information and educational background which includes a Master of Science in Marketing Analytics from University of Maryland and a Bachelor of Business Administration in Marketing from Yanbian University in China. He has work experience as a Data Analyst for Community Action Council of Howard County where he leveraged SQL and R to analyze datasets and increase donations by 15%. Additionally, he has internship experience with Goto.com Search Engine and worked as a Data Analyst for Weiresearch Technology utilizing SQL, SAS and R on data analysis projects. His project experience includes customer analysis for Under Armor where he used various tools to segment customers and recommend marketing plans.
Big data analytics is used to extract meaningful insights from data through identifying hidden patterns, correlations, trends, and customer preferences. It provides advantages like better decision making and preventing fraud. Business intelligence encompasses technologies, applications, and practices for collecting, integrating, analyzing, and presenting business information and is data-driven to support decision making. Business intelligence tools allow users to identify actionable information from raw data to facilitate data-driven decision making.
Sumit Kumar has over 2 years of experience in financial research and analytics. He currently works as a Data Researcher II at S&P Capital IQ, where he performs tasks like data mining, predictive modeling, customer segmentation, and report generation using SAS, R, SQL, and Excel. He has expertise in statistical techniques like regression analysis, time series forecasting, and clustering. Previously he worked as a Research Associate at S&P Capital IQ, where he performed financial research and data ingestion. He has an MBA in Finance and is proficient in SAS programming.
Xuehua Bu has over 5 years of experience in financial analysis, data science, business intelligence, and internal auditing. She has worked at Vantiv Inc. developing data analytical solutions using R, SQL, and Impala on over 20 billion transactions. Her skills include SAP Business Objects, SQL, R, Excel, and she is proficient in English and Chinese. She has a Bachelor's degree in Finance, Information Systems, and Analytics from Miami University.
Michael is a financial data analyst seeking a position in banking or finance. He has a Master's in Quantitative Finance and a Bachelor's in Economics. He is proficient in SAS, R, C++, SQL, Excel, and MATLAB. Michael has experience in risk management, financial modeling, and momentum strategies. He is currently working towards a CFA Level 2 certificate and FRM Part 1 certificate. His past internship involved preparing reports, back-testing momentum strategies, and supporting credit systems at a Chinese bank. Notable projects include modeling house prices and analyzing asymmetric information in markets.
N Prakash has over 6 years of experience in business research, marketing research, and market intelligence. He has experience conducting qualitative and quantitative research, financial analysis, secondary research using various databases, forecasting market sizes, and delivering reports using frameworks like Porter's Five Forces and SWOT analysis. He is proficient in advanced Excel, R programming, and CRM systems like Salesforce. Currently he works as an Associate Analyst at Digital Insights Research conducting SWOT analyses and competitive benchmarking reports for various sectors.
Joseph Hitesman is an actuarial support analyst seeking new opportunities to apply his versatile analytics skills and business knowledge. He has 8 years of experience providing data analysis and actuarial support to Blue Cross of Idaho, including cost management initiatives, forecasting, pricing, reserving, experience monitoring, and underwriting support. He is proficient in Microsoft SQL, Excel, and R and has completed several actuarial exams.
Analytics Organizations & The New Emerging RolesVandana Thakur
There are around 72 analytics organizations worldwide. These include 54 analytics consulting companies, 38 analytics product companies, and 9 analytics recruitment companies. The document discusses the roles of big data analyst, data scientist, data engineer, and data visualization analyst. It provides details on the skills required for each role and how they differ while also overlapping at times. It concludes by noting that analytics roles will continue evolving with new technologies and opportunities.
This document is a resume for Grace Han Yang that summarizes her education and experience in business analytics. She received a Master's degree in Business Analytics from University College London, and a Bachelor's degree in Business Intelligence and Information Management from Southwestern University of Finance and Economics in China. Her experience includes data analysis internships at the City Council of Croydon and EDF Energy, where she conducted analytics, visualization, and machine learning projects on large datasets.
Yuan Yao has strong skills in ETL processes, database management, and statistical modeling. She has a M.A. in Statistics from Columbia University and B.S. in Mathematics from Huazhong University of Science & Technology. Currently she works as a Developer at Fulcrum Analytics where she develops ETL processes and builds client databases. Previously she has worked as a Research Analyst conducting data analysis and developing predictive models.
Jagadeeswaran Logaiyan is seeking a master's degree in finance from the University of Cincinnati expected in May 2019. He has a bachelor's degree in electrical and electronics engineering from Anna University in India. His work experience includes programming analyst roles at Cognizant Technology Solutions and a finance trainee role at Bk Coats in India. His academic projects include credit card fraud detection and an analysis of WorldCom's financial scandal. His technical skills include programming languages like R and Python and data visualization tools like Tableau and Power BI. He was captain of his high school and college basketball teams and led cultural events as a student.
Job Opening:Pd data reporting analyst v2 0ACAP20755
The Customer Satisfaction Data Reporting Analyst position involves analyzing customer satisfaction data and developing reports to identify opportunities to improve IT services for the Department of Veterans Affairs. Key responsibilities include designing weekly executive reports, conducting data analysis and visualization, communicating findings, and supporting various reporting initiatives. The ideal candidate has 7-10 years of related experience, strong analytical and communication skills, and proficiency with tools like Excel, SAS, and survey methodology.
Jeff Gee has a Master's degree in Finance from Illinois Institute of Technology and a Bachelor's degree in Financial Engineering from Soochow University in Taiwan. His academic projects include constructing an automatic trading system using C# and analyzing market data in SQL, reproducing Monte Carlo simulations to price derivatives using Matlab, and evaluating a JP Morgan mutual fund to assess risk factors. For experience, he was an intern at Fubon Financial in Taiwan where he consulted on insurance policies and increased new customers, and was President of the Taiwan Student Association at IIT where he led orientation events for new students. He is proficient in various computer languages and applications.
O.SRINIVASA RAO has over 2 years of experience in data processing, analytics, and research. He has expertise in tools like IBM SPSS, MS Office, and R Programming. He currently works as an Associate Analyst at MarketTools, where he is responsible for data cleansing, analysis, quality checking, and client communication. O.SRINIVASA RAO has a PGDM and B.Tech degree. He has worked on various projects involving data analysis, report writing, and presenting findings.
Helen Chiriboga has over 10 years of experience in financial data analysis and operations support roles. She currently works as a Senior Financial Data Associate at Moody's, where she provides operational support to credit rating groups, sets up credit ratings and bulk actions, assists with research and publishing ratings. Previously, she worked as a Data Entry Associate and Research Analyst at Moody's and JPMorgan Chase respectively, where she entered organizational data, researched loan modifications, and ensured adherence to procedures. She holds a Bachelor's degree in Management from Baruch College.
1) Data analytics is the process of examining large data sets to uncover patterns and insights. It involves descriptive, predictive, and prescriptive analysis.
2) Descriptive analysis summarizes past events, predictive analysis forecasts future events, and prescriptive analysis recommends actions.
3) Major companies like Facebook, Amazon, Uber, banks and Spotify extensively use big data and data analytics to improve customer experience, detect fraud, personalize recommendations and gain business insights.
Janapati Sai Subrahmanyam is an Associate Software Engineer with experience in data science, machine learning, and IoT projects. He has a B.Tech in ECE from Karunya University and certifications in machine learning, AI, and data science. His skills include Python, R, SQL, Java, and data science tools like Keras, SkLearn, and Tableau. He has worked on various data science projects including predicting heart strokes, bankruptcy prediction using XGBoost, and sentiment analysis using LSTM. He is interested in machine learning, deep learning, and IoT.
Koushik Nallani is a .NET developer with over 2 years of experience developing REST services, web and mobile applications using technologies like C#, ASP.NET, and Angular. He has a Master's degree in Computer Science and is skilled in programming languages like C#, JavaScript, and databases like SQL Server. Currently he works as a Software Engineer at Goodwill of North Georgia where he has developed various systems to automate processes and improve inventory management.
An analytics professional with over six years of experience in Data and Predictive Analytics modeling across various industry verticals, including banking, retail, FMCG and telecommunications clients.
Graphs in Automotive and Manufacturing - Unlock New Value from Your DataNeo4j
This document discusses how graph databases like Neo4j can be used in automotive and manufacturing industries. It outlines use cases like supply chain management, warranty analytics, customer 360 views, and knowledge graphs. Examples are given of how graphs could help with supply chain optimization, predictive analytics, customer experience, and new product development. The presentation concludes with case studies of companies using Neo4j for applications such as integrated product data management, lessons learned databases, and product 360 views.
Bandhana Sinha is an experienced data analyst and project manager seeking new opportunities. She has over 3 years of experience in consulting and currently holds a Data Science certification from Stanford. Her skills include Tableau, R, SQL, and Microsoft Office. She creates interactive dashboards, analyzes financial data, and has experience managing projects.
Kevin Yang provides his contact information and educational background which includes a Master of Science in Marketing Analytics from University of Maryland and a Bachelor of Business Administration in Marketing from Yanbian University in China. He has work experience as a Data Analyst for Community Action Council of Howard County where he leveraged SQL and R to analyze datasets and increase donations by 15%. Additionally, he has internship experience with Goto.com Search Engine and worked as a Data Analyst for Weiresearch Technology utilizing SQL, SAS and R on data analysis projects. His project experience includes customer analysis for Under Armor where he used various tools to segment customers and recommend marketing plans.
Big data analytics is used to extract meaningful insights from data through identifying hidden patterns, correlations, trends, and customer preferences. It provides advantages like better decision making and preventing fraud. Business intelligence encompasses technologies, applications, and practices for collecting, integrating, analyzing, and presenting business information and is data-driven to support decision making. Business intelligence tools allow users to identify actionable information from raw data to facilitate data-driven decision making.
Sumit Kumar has over 2 years of experience in financial research and analytics. He currently works as a Data Researcher II at S&P Capital IQ, where he performs tasks like data mining, predictive modeling, customer segmentation, and report generation using SAS, R, SQL, and Excel. He has expertise in statistical techniques like regression analysis, time series forecasting, and clustering. Previously he worked as a Research Associate at S&P Capital IQ, where he performed financial research and data ingestion. He has an MBA in Finance and is proficient in SAS programming.
Xuehua Bu has over 5 years of experience in financial analysis, data science, business intelligence, and internal auditing. She has worked at Vantiv Inc. developing data analytical solutions using R, SQL, and Impala on over 20 billion transactions. Her skills include SAP Business Objects, SQL, R, Excel, and she is proficient in English and Chinese. She has a Bachelor's degree in Finance, Information Systems, and Analytics from Miami University.
Michael is a financial data analyst seeking a position in banking or finance. He has a Master's in Quantitative Finance and a Bachelor's in Economics. He is proficient in SAS, R, C++, SQL, Excel, and MATLAB. Michael has experience in risk management, financial modeling, and momentum strategies. He is currently working towards a CFA Level 2 certificate and FRM Part 1 certificate. His past internship involved preparing reports, back-testing momentum strategies, and supporting credit systems at a Chinese bank. Notable projects include modeling house prices and analyzing asymmetric information in markets.
N Prakash has over 6 years of experience in business research, marketing research, and market intelligence. He has experience conducting qualitative and quantitative research, financial analysis, secondary research using various databases, forecasting market sizes, and delivering reports using frameworks like Porter's Five Forces and SWOT analysis. He is proficient in advanced Excel, R programming, and CRM systems like Salesforce. Currently he works as an Associate Analyst at Digital Insights Research conducting SWOT analyses and competitive benchmarking reports for various sectors.
Joseph Hitesman is an actuarial support analyst seeking new opportunities to apply his versatile analytics skills and business knowledge. He has 8 years of experience providing data analysis and actuarial support to Blue Cross of Idaho, including cost management initiatives, forecasting, pricing, reserving, experience monitoring, and underwriting support. He is proficient in Microsoft SQL, Excel, and R and has completed several actuarial exams.
Analytics Organizations & The New Emerging RolesVandana Thakur
There are around 72 analytics organizations worldwide. These include 54 analytics consulting companies, 38 analytics product companies, and 9 analytics recruitment companies. The document discusses the roles of big data analyst, data scientist, data engineer, and data visualization analyst. It provides details on the skills required for each role and how they differ while also overlapping at times. It concludes by noting that analytics roles will continue evolving with new technologies and opportunities.
This document is a resume for Grace Han Yang that summarizes her education and experience in business analytics. She received a Master's degree in Business Analytics from University College London, and a Bachelor's degree in Business Intelligence and Information Management from Southwestern University of Finance and Economics in China. Her experience includes data analysis internships at the City Council of Croydon and EDF Energy, where she conducted analytics, visualization, and machine learning projects on large datasets.
Yuan Yao has strong skills in ETL processes, database management, and statistical modeling. She has a M.A. in Statistics from Columbia University and B.S. in Mathematics from Huazhong University of Science & Technology. Currently she works as a Developer at Fulcrum Analytics where she develops ETL processes and builds client databases. Previously she has worked as a Research Analyst conducting data analysis and developing predictive models.
Jagadeeswaran Logaiyan is seeking a master's degree in finance from the University of Cincinnati expected in May 2019. He has a bachelor's degree in electrical and electronics engineering from Anna University in India. His work experience includes programming analyst roles at Cognizant Technology Solutions and a finance trainee role at Bk Coats in India. His academic projects include credit card fraud detection and an analysis of WorldCom's financial scandal. His technical skills include programming languages like R and Python and data visualization tools like Tableau and Power BI. He was captain of his high school and college basketball teams and led cultural events as a student.
Job Opening:Pd data reporting analyst v2 0ACAP20755
The Customer Satisfaction Data Reporting Analyst position involves analyzing customer satisfaction data and developing reports to identify opportunities to improve IT services for the Department of Veterans Affairs. Key responsibilities include designing weekly executive reports, conducting data analysis and visualization, communicating findings, and supporting various reporting initiatives. The ideal candidate has 7-10 years of related experience, strong analytical and communication skills, and proficiency with tools like Excel, SAS, and survey methodology.
Jeff Gee has a Master's degree in Finance from Illinois Institute of Technology and a Bachelor's degree in Financial Engineering from Soochow University in Taiwan. His academic projects include constructing an automatic trading system using C# and analyzing market data in SQL, reproducing Monte Carlo simulations to price derivatives using Matlab, and evaluating a JP Morgan mutual fund to assess risk factors. For experience, he was an intern at Fubon Financial in Taiwan where he consulted on insurance policies and increased new customers, and was President of the Taiwan Student Association at IIT where he led orientation events for new students. He is proficient in various computer languages and applications.
O.SRINIVASA RAO has over 2 years of experience in data processing, analytics, and research. He has expertise in tools like IBM SPSS, MS Office, and R Programming. He currently works as an Associate Analyst at MarketTools, where he is responsible for data cleansing, analysis, quality checking, and client communication. O.SRINIVASA RAO has a PGDM and B.Tech degree. He has worked on various projects involving data analysis, report writing, and presenting findings.
Helen Chiriboga has over 10 years of experience in financial data analysis and operations support roles. She currently works as a Senior Financial Data Associate at Moody's, where she provides operational support to credit rating groups, sets up credit ratings and bulk actions, assists with research and publishing ratings. Previously, she worked as a Data Entry Associate and Research Analyst at Moody's and JPMorgan Chase respectively, where she entered organizational data, researched loan modifications, and ensured adherence to procedures. She holds a Bachelor's degree in Management from Baruch College.
1) Data analytics is the process of examining large data sets to uncover patterns and insights. It involves descriptive, predictive, and prescriptive analysis.
2) Descriptive analysis summarizes past events, predictive analysis forecasts future events, and prescriptive analysis recommends actions.
3) Major companies like Facebook, Amazon, Uber, banks and Spotify extensively use big data and data analytics to improve customer experience, detect fraud, personalize recommendations and gain business insights.
Janapati Sai Subrahmanyam is an Associate Software Engineer with experience in data science, machine learning, and IoT projects. He has a B.Tech in ECE from Karunya University and certifications in machine learning, AI, and data science. His skills include Python, R, SQL, Java, and data science tools like Keras, SkLearn, and Tableau. He has worked on various data science projects including predicting heart strokes, bankruptcy prediction using XGBoost, and sentiment analysis using LSTM. He is interested in machine learning, deep learning, and IoT.
Koushik Nallani is a .NET developer with over 2 years of experience developing REST services, web and mobile applications using technologies like C#, ASP.NET, and Angular. He has a Master's degree in Computer Science and is skilled in programming languages like C#, JavaScript, and databases like SQL Server. Currently he works as a Software Engineer at Goodwill of North Georgia where he has developed various systems to automate processes and improve inventory management.
Worked as a Salesforce Certified Developer. My responsibilities at Cognizant included intensive programming in Apex programming language. It is just like JAVA, using an object-oriented concept including some portions of JavaScript. I took elaborate video conferences from onsite counterparts and assisted them with flexible yet pragmatic plans of development. I also completed a minor project with Python 3.6.2 in Jupyter Notebook.With regard to my ability to meet the specific requirements of this job, these are few of my past roles:
•Project: Omni Channel
Using Salesforce, I configured the service cloud platform where agents and customers can chat for any online help. This whole setup is known as ‘live agent configuration’ which is eventually used to make business more effective and efficient at communicating
•Project : SNAP Invalid Email Enhancements
Completed the business requirement of providing back-end logic for valid Email extensions so that no invalid or spam Email can be provided. This in turn provided more authenticity to the website and its usage
•Project: ORACLE CPQ CLOUD Enhancements
Single-handedly created the style sheets and co-ordinated with onsite counterparts to enhance the User Interface for the new version of ORACLE.
• Worked with the cloud-based software Salesforce.com that helps multi-level organizations such as GE and Symantec to generate prices and quotes for complex and configurable products.
• Created new marketing ideas for an online-delivery solution for international retail prospects with unique coding methods for each product.
• Implemented a live agent-based customized page through APEX language where client and agent can share their queries and get easy solutions.
• Developed web services using JSON format and sent the datasets to other data clients for domestic and international customers through online cloud products.
Ranjeeta Bhattacharya is an information technology professional with over 10 years of experience seeking a role as a data scientist. She is currently pursuing a Master's degree in Data Analytics/Information Technology at Rutgers University with a 3.93 GPA. Her background includes experience in data analysis, modeling, and management for telecom companies. She is skilled in programming, machine learning, and data visualization tools.
Full-Time Roles : Business Intelligence Analyst, Data Analyst
Skills : Python, R, SQL, Machine Learning, Deep Learning
Tableau, Power Bi, Google Analytics,
Apache Spark
Kgaugelo Kutu has 9 years of experience as a business data analyst, with expertise in business analysis, data analysis, process improvement, and data-driven decision making. They are currently pursuing an MSc in Business Analytics from Coventry University. Previously they worked as a Manager of Sales Support at Toyota South Africa for 5 years, where they delivered insightful analysis that increased sales and market share. They are proficient in tools like Advanced Excel, SQL, Tableau, and have strong communication and stakeholder collaboration skills.
Kgaugelo Kutu has 9 years of experience as a business data analyst, leveraging data-driven insights to drive business growth and operational excellence. They are proficient in business analysis, data analysis, process improvement, advanced Excel, SQL, reporting, and stakeholder collaboration. Currently pursuing an MSc in Business Analytics, Kgaugelo has worked as a Manager of Sales Support at Toyota South Africa for 5 years and an Assistant Manager of Systems Development previously. They are committed to applying analytical expertise and project management skills to contribute to business success.
The document summarizes the professional experience of a data scientist seeking new opportunities. It outlines their proven ability to communicate with technical and non-technical stakeholders to identify business needs. Previous roles involved providing data-driven solutions to address complex business problems, forecasting inventory levels using time series analysis, and automating reporting. Additional experience includes building recommender systems, data analysis and model building as an intern, and delivering detailed investigation reports to clients.
Working with data is more than just a profession; it is the fulfillment of a deep
passion and aspiration. Drawing upon my comprehensive expertise and skills
acquired throughout my academic and professional journey, along with a
wealth of experience, I am driven to embrace fresh challenges and actively
participate in innovative and exhilarating projects
Kgaugelo Kutu is a data analyst with over 9 years of experience in data analysis, business analysis, project management, and stakeholder management. She has skills in Tableau, SQL, Python, data visualization, and advanced Excel. Kutu's professional background includes roles at Toyota South Africa where she delivered insightful analysis, championed projects, and coached team members. She has an MSc in Business Analytics and certificates in data science, business analysis, and ITIL.
Anupam Pramanik is a robotic automation professional with over 7 years of experience in BPO process automation and transformation. He has individually led automation projects across multiple locations in India, reducing costs by over $3.82 million and 102 FTEs for TCS clients. Pramanik's skills include Excel macro development, data analysis, and generating reports to identify process improvements and cost savings opportunities through automation. He has received several achievement awards for his work in automation and customer excellence.
Ronald Tharp has over 10 years of experience in software engineering, data analytics, machine learning, and predictive modeling. He has worked on projects involving Python, C++, SQL, SAS, MATLAB, Hadoop, AWS, and machine learning algorithms like logistic regression and Monte Carlo simulation. His experience includes roles at Kinnek, Context Relevant, Lattice Engines, and Booz Allen Hamilton developing applications and models for customer targeting, fraud detection, recruiting, and other predictive analytics tasks.
Kgaugelo Kutu is a data-driven professional with 9 years of experience leveraging data insights to drive business growth. They are proficient in data analysis, stakeholder engagement, project management, and business analysis. Their expertise includes using Python and Tableau to identify opportunities and deliver tailored solutions to clients. They have a proven track record of extracting actionable intelligence from complex data sets. Their professional background includes 5 years as Manager of Sales Support at Toyota South Africa, where they delivered insightful analysis, streamlined processes, and mentored others. They also have experience as Assistant Manager of Systems Development and a Graduate Trainee in Customer Service Systems at Toyota South Africa.
Utsav Gunjan is a recent graduate with 3 years of experience in Java and SQL seeking an entry-level analyst role. He has proven experience implementing and maintaining Oracle ERP systems. He is confident that his technical expertise and analytical mindset can drive business success. His work experience includes accelerating development of ERP systems in Oracle EBS using Java and SQL, and smashing sales targets in his first days as a business development associate. He has strong skills in Java, SQL, R, and analytics and seeks to continue learning and growing professionally.
(1) Mohamed Hakkache is a Business Operations Analyst and Certified Lean Six Sigma Black Belt with experience as a Business Analyst, Product Engineer, and Production Supervisor. (2) He has extensive skills in business intelligence, data analysis, machine learning, and managing analytics projects. (3) Hakkache has various certificates in deep learning, artificial intelligence, data science, and analytics from universities like Stanford, Michigan, and New York.
Kgaugelo Kutu is a dedicated and results-oriented professional with 9 years of experience leveraging data-driven insights to drive business growth and operational excellence across diverse industries. They are proficient in data analysis, stakeholder engagement, project management, and business analysis. Their expertise includes harnessing Python and Tableau to extract actionable intelligence from complex datasets and identify opportunities. They have a proven track record of consistently delivering high-quality outcomes through analytical solutions and contributing to business success.
We are currently hiring for specialized roles including a Head of Data Science, Mobile Product Manager, Customer Engagement Manager, Mobile App Developers, Senior Backend Developer, and Machine Learning Expert. The project launch is scheduled for July-August 2015. Candidates should email their resume and role of interest to incubatoroom@gmail.com.
This document provides a summary of an IT professional's qualifications and experience. It outlines over 20 years of experience in technology roles such as architect, consultant, and delivery head. Areas of expertise include software development, big data, information security, and project management. Various projects are listed involving technologies like Java, .NET, databases, and open source tools. The professional seeks an architect or senior architect role involving technology architecture, integration, and application management.
Santhosh Kumar Gattu is seeking a challenging position to utilize his analytical skills to help businesses achieve their goals. He has a B.Tech in ECE from GITAM University with an 8.08 CGPA and graduated in June 2014. He is currently working as an Application Developer at IBM India Pvt Ltd since March 2015. His responsibilities include developing and maintaining SAS code, analyzing and fixing defects, handling knowledge transfer sessions, and developing automation tools. He has strong SAS programming skills including procedures like PROC FORMAT, PROC SQL, and generating reports using PROC REPORT.
Ankit Kaushik is a business analyst with over 3 years of experience in the IT industry specializing in agile development methodologies. He has skills in requirements management, documentation, testing, and agile/waterfall methodologies. Currently he works as a business analyst at A3logics India Private Limited on US healthcare projects involving web and mobile application development. His responsibilities include requirement gathering, project management, documentation, testing, and ensuring system integrity before release.
Similar to T Pawan Kumar Patro_Data Analyst_Resume (20)
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Introduction to Jio Cinema**:
- Brief overview of Jio Cinema as a streaming platform.
- Its significance in the Indian market.
- Introduction to retention and engagement strategies in the streaming industry.
2. **Understanding Retention and Engagement**:
- Define retention and engagement in the context of streaming platforms.
- Importance of retaining users in a competitive market.
- Key metrics used to measure retention and engagement.
3. **Jio Cinema's Content Strategy**:
- Analysis of the content library offered by Jio Cinema.
- Focus on exclusive content, originals, and partnerships.
- Catering to diverse audience preferences (regional, genre-specific, etc.).
- User-generated content and interactive features.
4. **Personalization and Recommendation Algorithms**:
- How Jio Cinema leverages user data for personalized recommendations.
- Algorithmic strategies for suggesting content based on user preferences, viewing history, and behavior.
- Dynamic content curation to keep users engaged.
5. **User Experience and Interface Design**:
- Evaluation of Jio Cinema's user interface (UI) and user experience (UX).
- Accessibility features and device compatibility.
- Seamless navigation and search functionality.
- Integration with other Jio services.
6. **Community Building and Social Features**:
- Strategies for fostering a sense of community among users.
- User reviews, ratings, and comments.
- Social sharing and engagement features.
- Interactive events and campaigns.
7. **Retention through Loyalty Programs and Incentives**:
- Overview of loyalty programs and rewards offered by Jio Cinema.
- Subscription plans and benefits.
- Promotional offers, discounts, and partnerships.
- Gamification elements to encourage continued usage.
8. **Customer Support and Feedback Mechanisms**:
- Analysis of Jio Cinema's customer support infrastructure.
- Channels for user feedback and suggestions.
- Handling of user complaints and queries.
- Continuous improvement based on user feedback.
9. **Multichannel Engagement Strategies**:
- Utilization of multiple channels for user engagement (email, push notifications, SMS, etc.).
- Targeted marketing campaigns and promotions.
- Cross-promotion with other Jio services and partnerships.
- Integration with social media platforms.
10. **Data Analytics and Iterative Improvement**:
- Role of data analytics in understanding user behavior and preferences.
- A/B testing and experimentation to optimize engagement strategies.
- Iterative improvement based on data-driven insights.
1. T Pawan Kumar Patro
pawan.patro@gmail.com +91 80935 96535
linkedin.com/in/pwnkrptr https://www.github.com/pwnkrptr
Summary
• Data Analyst with a coding background and a demonstrated history of 1years and 2 months working in the travel &
hospitality industry.
• Skilled in some of the most used Machine learning algorithms, R, Tableau, Python, Hadoop Environment, SQL and
Data Science fundamentals.
• College graduate attentive to Data Science pursued from Imarticus Learning with 9 pointer score rate.
• Passionate about studying and seeking to leverage data analytical & decision-making skills to improve corporate
performance.
Experience
Revenue Analyst Nov 2018- Present
AxisRooms Travel Distribution Solutions Pvt. Ltd.
• Conducted competitive and market analysis to develop optimal pricing and inventory levels across multiple
electronic distribution channels.
• Collected and analyzed data from various systems; prepared monthly financial, booking reports to identify
unapplied cash and credits and allocated money to outstanding invoices as well as the total room nights
achieved for each and every property.
• Effectively evaluated market trends by utilizing market and property-specific reports, both future and
historical.
• Collaborated with hotel management and ownership to develop revenue and marketing strategies.
• Worked on initiatives to improve efficiencies with revenue recognition processes and reporting.
• Perform monthly revenue analysis, management, and report activities.
• Interaction with the manager in developing new strategies to improve the timeliness and accuracy of
revenue management.
• Identify root causes of revenue related issues and provide appropriate resolutions.
• Working with revenue manager in budget preparation.
• Forecast revenues and review monthly revenue numbers with management.
• Generate revenue reports to management for review.
• Preparation of month-end reports to be sent to hoteliers.
• Daily pick-up analysis and reporting.
Robotics Engineer Oct 2017 - Dec 2017
INFANT ENGINEERS PRIVATE LIMITED 3 months
• Successfully served as a manufacturing and designing improvement lead for the automotive safety and
body fitment area.
• Executed multiple continuous improvement initiatives such as process time reduction, layout redesign,
ergonomics changes, root cause analysis, and line balancing; resulting in a capacity increase of 15%.
• Designed a robust process for tact wise planning of assembly line using 3P and process improvements.
• Successfully managed a team of 3 people to improve the design rate of safety modules.
• Set up the production rate for heavy commercial vehicles and focused on labor reduction through work
element optimization.
2. Education
Biju Patnaik University of Technology, Odisha 2013 - 2017
Bachelor of Technology (B.Tech.), Mechanical Engineering, 7.2
Central Board of Secondary Education 1998 - 2011
DAV Public School, Matriculation, 7.6
Skills
Data Visualization • Analytical Skills • Statistics • Data Science • R • Python (Programming Language)
• Tableau • SQL • Microsoft Excel • Machine Learning Algorithms
Certifications
Data Science & Analytics • Imarticus Learning
Dec 2018 - Present
Robotics & Industrial Automation • Technocrat Automation Pvt. Limited
Sep 2017 - Present
Git Started with Github • Udemy
Jan 2019 - Present
Perform Cloud Data Science with Azure Machine Learning • Microsoft Certifications
Feb 2019 - Present
Implementing Data Science with R • DataCamp
Oct 2018 - Present
Introduction to Machine Learning Using Python • Udemy
Nov 2018 - Present
Developing SQL Databases • W3Schools
Jul 2018 - Present
Analyzing and Visualizing Data with Microsoft Excel • LinkedIn Success Summit - Free LinkedIn
Training
Jan 2019 - Present
Honors & Awards
LEGO Robotics • National Institute of Science & Technology • Jul 2010
Junkyard Robotics • National Institute of Science & Technology • Jul 2010