Chicheng Zhang is a data scientist and senior manager based in New York with eight years of experience applying applied mathematics and statistics to real-world business problems. He has progressed from analyst and data scientist roles to leadership at Tapestry, guiding teams that translate analytics into product and operational impact. Comfortable across the ML lifecycle, Chicheng pairs hands-on modeling and Kaggle-driven experimentation with production-focused deployment practices showcased on his GitHub. His academic foundation (MS in Applied Mathematics and Statistics from Stony Brook) underpins a quantitative approach to forecasting, personalization, and risk modeling honed in industries from fintech to retail. Known for being "interests-driven," he tends to explore practical, data-centric side projects that surface novel features or metrics for product teams. Colleagues rely on him to bridge rigorous statistical thinking with business priorities and to mentor the next generation of data talent.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at Beijing University of Chemical Technology
Master Applied Mathematics and Statistics, Master Applied Mathematics and Statistics at Stony Brook University
Statistical and Machine Learning Model for Stock Market Bubble Detection
Contributions:18 commits, 2 PRs, 33 pushes in 2 months
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