Shuo Zhang
Quantitative Manager
New York, New York, United States
Summary
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Senior🎓
Top SchoolShuo Zhang is a Quantitative Manager in New York with nine years of experience applying advanced data science and machine learning to finance and product problems. Based at American Express and consulting with GROUP628, she combines deep Python and R expertise (including pandas, scikit-learn, xgboost, Shiny and visualization stacks) with SQL, Spark/Hadoop and Tableau to turn messy production data into actionable models. Her background in chemical engineering and a Ph.D. from Columbia gives her atypical strength in experimental design, statistical rigor and modeling complex physical and business processes. She has built end-to-end projects—Bayesian-optimized forecasting for NYC taxi demand, interactive Shiny apps for user segmentation, and ensemble models deployed for prediction—demonstrating both research depth and production orientation. Comfortable bridging teams and vendors from her semiconductor process engineering days, she excels at translating domain requirements into scalable analytic solutions. Shuo’s blend of academic research, manufacturing process optimization and modern ML makes her particularly adept at tackling high-stakes, data-driven decision problems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Chemical Engineering, 3.4/4.0, Bachelor of Engineering (B.E.), Chemical Engineering, 3.4/4.0 at Tianjin UniversityMaster of Science (M.S.), Chemical Engineering, 3.82/4.00, Master of Science (M.S.), Chemical Engineering, 3.82/4.00 at Columbia University in the City of New York
Chinese, EnglishGithub contributions (3)
shuozhang1985/shuozhang1985.github.io
Jul 2016 - Jul 2016
Contributions:4 commits, 3 pushes, 1 branch in 1 day
shuozhang1985/test
Jul 2016 - Jul 2016
Contributions:1 push, 1 branch in 1 day
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