Zhiyi Shen
Machine Learning Engineer at Zhejiang University
City of Rochester, New York, United States
Summary
👤
Senior🎓
Top SchoolZhiyi Shen is a Machine Learning Engineer with nine years of experience applying quantitative and ML techniques to finance, bridging rigorous academic training in mathematics and finance with hands-on risk and data work. He combines an MS in Quantitative Finance with undergraduate studies in math and economics to translate calculus-, linear algebra-, and probability-driven models into practical risk insights and tooling. Zhiyi’s background includes consumer credit risk monitoring at Bank of Nanjing and analytical consultancy exposure at McKinsey, giving him both operational discipline and strategic analysis skills. Comfortable with database-backed mobile app projects and daily operational data pipelines, he excels at turning messy, multi-source financial data into actionable metrics and decisions. Based in Rochester, NY, he brings a rare blend of frontline loan monitoring experience and quantitative modeling ability, focused on deploying ML in financial contexts rather than pure research.
9 years of coding experience
The University of ArizonaUndergraduate, Math, Undergraduate, Math at University of RochesterMaster of Science in Finance - Quantitative (MSFQ), Master of Science in Finance - Quantitative (MSFQ) at Washington University in St. Louis
Github Skills (2)
deep-learning8
tensorflow8
Programming languages (1)
Github contributions (5)
szy1900/Event_driven_framework_for_backtesting
Apr 2020 - Aug 2020
Contributions:14 commits, 8 pushes, 1 branch in 4 months
szy1900/szy1900.github.io
May 2020 - Nov 2020
Contributions:6 pushes, 1 branch in 6 months
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