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Sagar Meisheri
Data Scientist at eBay
Sagar Meisheri is an experienced Data Scientist with a strong background in using data to drive business impact. Currently, Sagar is a part of the Risk Decision Science team at eBay, where he focuses on building and deploying real-time and batch ML models to prevent fraudulent seller activities across multiple regions. Prior to his current role, Sagar was part of the Advertising Analytics team at eBay, specializing in first-party ads optimization in search. Sagar's expertise includes working on Recommender Systems, Ad-click prediction, Forecasting, Churn & Search Analytics.
Sagar Meisheri holds a Master's degree in Business Analytics and Project Management from The University of Connecticut School of Business, a Bachelor's degree in Computer Engineering from the University of Mumbai, and a Master's degree in Computer Science from the Georgia Institute of Technology.
With a rich professional history, Sagar has held various positions at notable organizations. He has served as a Data Scientist in the Risk & Fraud team at eBay, Manager, Data Scientist at Oportun, and Data Scientist in different capacities at eBay. Sagar has also worked as a Senior Business Analyst, Business Analyst specializing in Vertical Analytics, and previously started his career as a Data Analytics Intern at eBay Inc. Prior to his corporate roles, Sagar gained experience as a Survey Research Specialist at the University of Connecticut, an IT Help Specialist at the same university, and an Analyst at eClerx.
Sagar Meisheri's technical skills include proficiency in Python, SQL, Spark, and Hadoop, which he leverages in his role as a Data Scientist to analyze data, build Machine Learning models, and derive meaningful insights to combat fraudulent activities and optimize advertising strategies.
Sagar's passion for using data as a strategic asset to drive positive outcomes in businesses, coupled with his diverse experience and strong technical acumen, positions him as a valuable asset in the field of Data Science and Analytics.