Summary
Shiyun Zhang is a Data Science Manager based in the San Francisco Bay Area with over 10 years of experience applying large-scale data engineering, statistical modeling, and machine learning to drive business decisions. She progressed from analytics internships to staff data scientist roles and now leads data science at Meta, combining hands-on expertise in SQL, Python, R, Hadoop and experimentation with the ability to deliver fast turnaround on complex projects. Her strengths include feature engineering, ensemble methods, time-series forecasting and A/B testing, paired with clear communication that translates models into actionable product and marketing insights. Trained with an M.S. in Statistics (Data Mining) and seasoned at enterprises like Disney and Kohl’s, she balances rigorous statistical thinking with production-ready ETL and deployment experience. An intellectually curious coder—she describes coding as “interesting”—she brings both depth in algorithms and pragmatism in scaling analytics for impact.
10 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Statistics (Data Mining Track), Master of Science (M.S.) Statistics (Data Mining Track) at University of Central Florida
English, Chinese, Japanese