Open to Summer 2027 internships

Statistics and Economics student focused on applied data work.

I am Kexing Yan (严可行), an Honours BSc student at the University of Toronto, St. George Campus, double-majoring in Economics and Statistics with a focus on Data Analytics. My interests include econometrics, applied data analysis, financial research, and clear, evidence-based research questions.

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01 About

I like making quantitative work readable and useful.

My academic path sits between economic reasoning and statistical practice. I am especially interested in how data can clarify questions about development, institutions, markets, and decision-making.

Recent work includes building a panel dataset across 84 countries and studying the relationship between microfinance activity and economic development using regression models, PCA, and Python-based analysis workflows.

I am looking for internships and research opportunities where I can contribute careful data cleaning, statistical analysis, and concise communication.

02 Skills

Tools I use most often.

Python pandas, NumPy, matplotlib, statsmodels, scikit-learn — cleaning and panel construction from over a million loan records.
SQL Querying, filtering, aggregation, large dataset workflows
R Statistical analysis, data handling, base R
Statistics PCA used to build an institutional-quality index; regression, hypothesis testing, and EDA.
Econometrics PPML and Logit models, average marginal effects, clustered standard errors, and turning-point tests, from the Kiva paper.
Workflow Git, GitHub, Jupyter, Excel, LaTeX

03 Research

Selected research paper.

The Quantity and Size of Microloans Follow Different Development Logics: Evidence from Kiva

Research paper

July 2026

This paper studies how Kiva microfinance activity relates to economic development across an 84-country panel from 2013 to 2017, separating total lending volume, individual loan size, and whether Kiva operates in a country at all.

Loan size follows a significant U-shaped relationship with development level, while total lending volume shows no significant inverted-U — the two dimensions of microfinance activity are driven by different mechanisms. Kiva's country entry pattern is more nuanced than a simple middle-income peak.

Python pandas statsmodels Logit PPML Econometrics
Read paper PDF View code

04 Honours & Activities

Scholarships, seminars, and activities.

Participant, Online Economics and Finance Seminars

CFA Institute

2024-present
  • Attended seminars covering macroeconomic trends, monetary policy, and global financial markets.

University of Toronto Entrance Scholarship

Academic honour

UofT UTSG

Merit-based scholarship awarded upon admission for academic excellence.

05 Contact

Let's connect.

Personal Email [email protected] University Email [email protected] LinkedIn linkedin.com/in/kexing-yan GitHub github.com/KexingYan Résumé Download PDF