About Me

I'm a sophomore at the College of William & Mary pursuing a major in Computational and Applied Mathematics and Statistics (CAMS). I'm passionate about quantitative analysis, and I love applying my skills in data analytics, applied mathematics, and econometrics to solve interesting problems that I've found! Currently, I’m working as a Research Analyst on the China Development Finance Program team at AidData—a research lab at William & Mary. In my free time, I enjoy reading, watching soccer, baking, and playing board games!

Recent Projects

  • Land finance in China

    How the Chinese land finance system shapes the real estate market—and what changes may be on the horizon.

  • Applying the Elo system to soccer

    How I built a model that predicts match outcomes with 67% accuracy.

    Download Ro32 Win Probabilities

My Skills

  • French Fully fluent
  • Python Proficient
  • R Proficient
  • SQL Proficient
  • Excel Proficient

With a strong foundation in quantitative analysis, statistical modeling, and financial research, I bring expertise in Python, R, and SQL for data-driven decision-making. My proficiencies in econometrics, applied mathematics, and operations research allow me to develop predictive models and conduct advanced financial analysis. I am also skilled in Excel-based financial modeling and corporate valuation through workshops with Training the Street. Through my technical skills I possess the skills to extract meaningful insights from complex datasets, whether in equity research, development finance, or sports analytics. I excel in solving complex problems, and I love to leverage my skills whenever and however I can!