OSCR AI, Market Analyst Intern (San Francisco, CA, Nov 2024–Present)
Conduct market research and competitive analysis using Perplexity and Monica AI to refine the product-market fit for a content marketing SaaS product, and collaborate on growth strategies that have generated 80+ leads.

Alexander Tutoring, Data Analyst (San Francisco, CA, Aug 2024–Present)
Developed a churn prediction model and a star tutoring evaluation model using Python, PCA, and random forest to enhance accuracy, while also applying RAG and LLMs to extract actionable insights from tutorial session data.

Budweiser Asia Pacific, Trade Marketing Summer Intern (Shanghai, China, Jul 2023–Aug 2023)
Led the creation of an information-sharing platform and built 20 Power BI dashboards that reduced analysis time by nearly 50%, and optimized a coupon distribution system via advanced Excel analysis to save 34% in costs.

Boston Consulting Group, Business Analyst Intern (Remote, Aug 2022–May 2023)
Conducted revenue data analysis across four projects using Excel, delivering actionable benchmarking insights and creating 20+ charts and workflow diagrams that supported strategic decision-making.

Una Brands Capital, Industry Analyst Intern (Shenzhen, China, Dec 2021–May 2022)
Developed research frameworks with Excel and web crawling to analyze Chinese sellers on Amazon and provide strategic project recommendations, while converting 12% of 1K potential sellers into actionable leads.

ZhongAn Insurance, Platform Product Manager Intern (Shanghai, China, Dec 2021–Feb 2022)
Analyzed competitor designs and produced 5 PRDs to guide product revisions, coordinating with business leaders to resolve over 50 issues, and conducted A/B testing that boosted link click rates by 34% and page visits by 28%.

Airbnb New User Analysis Data Management Project (Oct 2024–Dec 2024)
Designed and implemented a SQL-based data pipeline to integrate and clean 1M+ records across five datasets, and conducted EDA to improve booking predictions by 20%.

Recommendation System Based on Steam User Comments (Oct 2023–Dec 2023)
Performed sentiment analysis on comments from 25K users across 3K games and developed a Collaborative Filtering Model using Factorization Machine and DNN to address the cold start problem.

Hotel Prediction Business Analytics Project (Mar 2023–May 2023)
Selected variables using Step AIC and PCA to predict cancellations with logistic regression and time series methods, while leading discussions to design incentive mechanisms and an overbooking solution.

Loan Default Prediction Project (Nov 2022–Dec 2022)
Analyzed Lending Club data using various ML techniques to predict loan defaults, ultimately identifying Random Forest as the most effective model with an AUC of 71%.