Summary
Yuancheng Zhu is a Lead Data Science Analyst with a decade of experience applying causal inference, statistical analysis, and machine learning to business problems, currently driving analytics at Discover Financial Services. He combines end-to-end project ownership—from data gathering and SQL-driven ETL to modeling in R/Python/Stata and Tableau-backed stakeholder presentations—with a strong academic foundation (MS degrees from University of Illinois Urbana-Champaign and UT Dallas). Known for translating causal questions into measurable experiments and models, he has advanced from research roles to senior analytics leadership, making complex results actionable for product and risk teams. Based in Schaumburg, IL, he brings both rigorous research experience and practical enterprise delivery, often bridging academic methods with production-ready analytics.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, MS in Information Technology and Management, MS in Finance, 3.92/4.00, Master of Science - MS, MS in Information Technology and Management, MS in Finance, 3.92/4.00 at The University of Texas at Dallas
Bachelor of Science - BS, Information Management and Information Systems, Bachelor of Science - BS, Information Management and Information Systems at Shanghai University of Finance and Economics
Master of Science - MS, Business Administration, 3.92/4.00, Master of Science - MS, Business Administration, 3.92/4.00 at University of Illinois Urbana-Champaign