New York City Metropolitan Area
πAbout meοΌMaster student currently pursuing Business Analytics degree at Columbia University. I aim to grow as a Business Analyst / Data Analyst / Product Manager, combining data-driven insights with user-focused design. My superpowers π Data Analytics (Python, SQL, R, Tableau, Excel) π§ Business Strategy & Roadmapping π€ Cross-functional Leadership & Communication π― Turning complexity into clear, actionable insights Past roles πΌ Meituan β Analyzed PB-scale datasets (840M users), built dashboards, and delivered reports that increased CTR by 12%. π Teaching Assistant @ UW β Mentored 60+ students in R and machine learning, achieving a 95% proficiency rate. π¬ Research Assistant (HPDIC Lab) β Improved encryption query performance 2.3β5.6x with custom database functions. π Hackathon Leader β Won Best Visualization Prize for predictive modeling of U.S. overdose trends. Education π Columbia MSBA '26 | University of Washington INFO '25 Personal interests π Exploring global innovation & entrepreneurship 𧩠ENFP β thrive in creative, collaborative spaces πΈ Storytelling & content creator on social media
Served as a TA for undergraduate data science courses (INFO 180 & INFO 201), supporting 50+ students across multiple quarters. Led weekly lab sessions covering machine learning fundamentals, R programming, Tableau, Shiny App, Github, Git, and real-world data workflows. Provided personalized guidance on tools like GitHub, Markdown, and Shiny, and mentored students through regression models, neural networks, and data storytelling. Helped 80%+ of students achieve A grades while fostering confidence in both technical and analytical thinking.
Worked with petabyte-scale data from 840M+ users to analyze conversion and retention trends. Designed and optimized event tracking systems across the Meituan App and WeChat Mini Program, improving behavioral visibility. Built an anomaly detection dashboard that increased monitoring efficiency by 15%. Created scalable data warehouse models and streamlined ETL pipelines, accelerating data access for cross-functional teams.