Summary
Wenting Chen is a Data Science Manager in New York with eight years of experience bridging applied machine learning, product analytics, and urban informatics. With an MS from NYU in Applied Urban Science and Informatics and a background in information systems and finance, she has moved from hands-on model building (SVMs, Random Forests, CNNs) and research at UC Berkeley to leading data science work at American Express. She combines product-focused algorithm design—having specified demand, prediction, and optimization algorithms for municipal transportation platforms—with strong business analytics skills across Tableau, Looker, SQL, and Snowflake. Comfortable translating complex technical requirements into market-ready features, she also brings policy and standards exposure from government-focused roles in China. Colleagues rely on her for pragmatic, cross-functional delivery that aligns models to operational decision-making and stakeholder needs.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Applied Urban science and Informatics, Master of Science - MS Applied Urban science and Informatics at New York University
Bachelor's degree Information Management and Information Systems, Bachelor's degree Information Management and Information Systems at Sun Yat-sen University
Summer session Finance, Summer session Finance at University of California, Berkeley, Haas School of Business
Minor Finance, Minor Finance at Sun Yat-sen University - Lingnan (University) College