Summary
Mingda Zhang is a Principal Data Scientist based in California with nine years of applied analytics experience across Fortune 500 firms and insurance and telecom sectors. He specializes in predictive modeling, advanced statistical methods, and production analytics using SAS, Python, R, and enterprise SQL on platforms like Teradata and Oracle. Mingda has led model development for underwriting, pricing, churn and revenue-at-risk, translating big data into operational forecasts and business decisions. He combines hands-on technical mastery (GLM, ensemble methods, TDboost, CHAID/CART) with people leadership—training juniors and explaining complex models to non-technical stakeholders. His background spans both startup marketing leadership and large-scale corporate analytics, giving him uncommon fluency in turning exploratory research into production-grade solutions. Outside typical modeling deliverables, he has applied statistical expertise to environmental and economic forecasting projects, reflecting a breadth beyond standard commercial analytics.
9 years of coding experience
6 years of employment as a software developer
B.E. Biotechnology, B.E. Biotechnology at Soochow University (CN)
M.S. Statistical Computing Data Mining, M.S. Statistical Computing Data Mining at University of Central Florida
Chinese, English