Xinyu Zhang
Senior Data Scientist
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolXinyu Zhang is a Senior Data Scientist based in the New York City area with six years of experience applying statistical rigor and machine learning to healthcare and life insurance problems. She has led production models at ChenMed and Prudential, including an enterprise-level IBNR claims booking model with 5% MAE and NLP-based upcoding and outlier payment detection. Her work blends classical statistics (MS in Statistics, 3.9 GPA) with practical engineering—rewriting SAS risk-adjustment logic in Python and shipping interactive tools for real-time calculations. Xinyu has repeatedly turned messy healthcare inputs into scalable automation, from OpenCV checkbox extraction that cut manual work by 70% to geolocation forecasting for strategic PCP recruitment. Comfortable moving models from prototype to production, she pairs technical depth with domain fluency in Medicare Advantage and payer operations.
6 years of coding experience
6 years of employment as a software developer
The University of ArizonaMaster of Science - MS, Statistics, 3.9/4.0, Master of Science - MS, Statistics, 3.9/4.0 at The University of Texas at DallasData Science, Data Science at The Data Incubator
English, Chinese
Github Skills (21)
nodejs10
rocket9
javascript9
linux9
windows9
macos9
js9
typescript8
microsoft7
electron7
vscode-extension7
vscode7
editor7
compile7
doxygen6
Programming languages (3)
Github contributions (5)
zhxinyu/robusttail
Dec 2022 - Jul 2024
Contributions:17 pushes in 1 year 6 months
zhxinyu/gho-payment-sdk
Jan 2024 - Jan 2024
Contributions:18 pushes in 6 days
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