Summary
Yitong Zhou is a Machine Learning Engineer and current MS Data Science student at Columbia University with nine years of industry exposure grounded in a double major in Applied Mathematics and Statistics & Data Science from UC Santa Barbara. She combines strong statistical foundations with practical data engineering and visualization skills, fluent in Python, SQL, and SAS, to turn complex datasets into actionable insights. Based in New York, she blends academic rigor with hands-on model development and a clear enthusiasm for machine learning evident in her GitHub presence. Notably, her background in applied mathematics gives her an edge in crafting robust, interpretable models rather than treating ML as a black box.
9 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at Columbia University in the City of New York
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of California, Santa Barbara