RESUME / OVERVIEW
Résumé
Data scientist and Ph.D. candidate in Economics, working across causal inference, machine learning, and statistical modeling.
Education, internships, and technical methods from my résumé.
Experience
Industry experience in data science and financial analysis
Data Scientist Intern
DeveloperDB · Sunnyvale, California
Structured 400K+ talent profiles from Elasticsearch; built embedding-based matching, Weaviate/OpenAI RAG search, and decision-tree support for personalized outreach.
Jul–Nov 2025
Financial Analyst Intern
Bank of China International · Beijing, China
Conducted industry and IPO research; prepared Chinese stock-index time series and visualized market trends across sectors with Python and Excel.
Jul–Sep 2024
Financial Analyst Intern
Citibank · Nanjing, China
Analyzed macroeconomic trends and structured investment products; fitted ARMA models to Chinese stock indices and assessed portfolio risk exposure.
Jul–Aug 2017
Education
Ph.D. in Economics
Syracuse University
Expected Dec 2026
M.S. in Analytics
Georgia Institute of Technology
Expected Dec 2026
M.S. in Economics
University of Wisconsin–Madison
May 2021
B.S. in Economics
Jilin University
Jun 2019
Technical Skills
Programming
Python (NumPy, pandas, scikit-learn), SQL (SQLite, PostgreSQL), R, Stata, LaTeX.
Data Science Methods
Observational causal analysis, causal machine learning, time-series forecasting, and natural language processing.
Languages
Mandarin Chinese (native) and English (fluent).
Awards
Graduate Assistantship
Syracuse University
2021–2025
Summer Support
Department of Economics, Syracuse University
2021–2025
Second Honor Scholarship
Jilin University
2016
Individual Scholarship in Arts & Sports
Jilin University
2016