Tangwen Zhu
Data Analyst
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolTangwen Zhu is a data analyst and MS Computer Science (Machine Learning) candidate at Columbia with nine years of experience applying data science and software engineering to operational problems. A Virginia Tech CMDA summa cum laude and Phi Beta Kappa member, Tangwen has built and deployed ML-driven tools—among them Flask-deployed models that improved underwriting performance by 10%—and created lightweight internal applications to streamline logistics reporting. Equally comfortable coding in Python, Java, C, and R, they bridge data cleaning, EDA, NLP preprocessing, and hands-on system integration to improve data reliability. Known as a quick learner and pragmatic problem solver with a touch of perfectionism, Tangwen enjoys collaborative environments and finding simple ways to make complex workflows easier.
9 years of coding experience
Bachelor's degree, Computational modeling and data analytics, 3.83 - summa cum laude, Bachelor's degree, Computational modeling and data analytics, 3.83 - summa cum laude at Virginia TechMaster's degree, Computer Science, Master's degree, Computer Science at Columbia University
Github Skills (1)
vue3
Github contributions (5)
xinbeimousha/hangxingjia
Aug 2018 - Sep 2018
Contributions:51 pushes, 1 branch in 28 days
xinbeimousha/practice
Jul 2017 - Sep 2017
Contributions:19 pushes, 1 branch in 1 month
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