Summary
Zenan Peng is an Operations Research master's student at Columbia University and a data analyst with a decade of hands-on experience applying R, Python, SQL, and Tableau to business problems across e-commerce, real estate, and NLP domains. As a course assistant for analytics and probability/statistics courses, he bridges rigorous statistical theory—including stochastic and Bayesian methods—with practical coding support, grading, and exam proctoring. His industry experience includes data analyst roles at ByteDance and JOYY and an NLP internship at 1Token, where he translated complex data into actionable insights for product teams. Comfortable with time series and statistical machine learning, he brings five years of applied programming depth and a strong foundation from a BS in Statistics & Data Science at UC Santa Barbara. Known for a focused, analytical mindset (心有猛虎,细嗅蔷薇), he pairs technical fluency with clear communication to help stakeholders make objective, data-driven decisions.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Statistics and Data Science, Bachelor of Science - BS, Statistics and Data Science at UC Santa Barbara
Master of Science - MS, Operations Research, Master of Science - MS, Operations Research at Columbia University - The Fu Foundation School of Engineering and Applied Science
Chinese, English