Sheng Ming is a data scientist with eight years of experience applying ML, forecasting, and rigorous A/B testing across consumer tech—from e-commerce and ads to social music and fintech. He is a full-stack data developer fluent in SQL, Python, Java and C/C++, with hands-on experience building ETL pipelines, ads ML infrastructure, LTV projection engines, and campaign optimization systems. An IIF-awarded forecaster and bronze medalist in the YouTube-8M video understanding challenge, he blends deep learning research with product-focused engineering to drive measurable business impact. Based in the San Francisco Bay Area, Sheng pairs advanced time-series and experimental-design skills with production-ready software craftsmanship, a combination that has repeatedly improved monetization and forecasting accuracy. Unusually, he also brings teaching experience in applied statistical learning and big-data tools, helping translate complex methods into practitioner-ready solutions.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science Business Analytics, Master of Science - MS Data Science Business Analytics at University of Southern California
Bachelor's degree Economics, Bachelor's degree Economics at Shanghai University of Finance and Economics
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Pennsylvania
Contributions:6 pushes, 1 branch in 5 years 1 month
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