Sheng Ming

Sheng Ming is an accomplished data scientist with a diverse background in analytics and machine learning. Experience includes roles at KPMG China as an Audit Associate, earning a Bravo Award for outstanding achievements, and as a Management Consulting Analyst at IMS Health, contributing to a pharmaceutical product launch for Pfizer. Subsequent positions involved data development at AccelOps, where skills in log analysis were honed, and significant contributions at Earnin focused on statistical inference and ETL pipelining. Sheng Ming further advanced expertise at Smule, Inc. through machine learning projects related to subscription pricing and forecasting, and optimized campaign systems at Wish. Currently, Sheng Ming is a data scientist at Meta, working on Ads ML infrastructure, while pursuing a Master of Science in Computer and Information Technology at the University of Pennsylvania, following a Master of Science in Data Science from the University of Southern California and a Bachelor's degree in International Business/Economics from Shanghai University of Finance and Economics.