Technologies Used: Python (Bloomberg/Dash/Matplotlib/Pandas/Scikit-learn), React.js, SQL, CSS

On my first desk, International Equities, I created a classifier for GMOCs, and scripted a job to email report of notable overnight high-probability GMOCs. On my second desk, Semi-Systematic Equity Options, I designed a full-stack Early Exercise Dashboard application in 3 weeks, which ended up being deployed to production. In addition to desk work, I completed a rigorous curriculum of activities alongside the rest of the intern cohort, including a 30-lecture learning series, accompanying tests, electronic and open-outcry mock trading, poker, and board gaming.

Technologies Used: Python (Pandas/Plotly), SQL

I interned on the Core Strats Team within Goldman's Quantitative Investment Strategies group. Over the course of the 10 weeks, I researched historical performance of proprietary and competitor funds, and created a prioritization framework for which of our systematic funds were most efficient to dedicate the team's human capital to.

Technologies Used: Bloomberg Terminal, Excel, FactSet, Python (NumPy/Pandas/Plotly)

Georgia Tech Foundation is the entity that manages the over $3.3B (as of June 2024) school endowment. I backtested an options trading idea that the risk portfolio was interested in implementing for proprietary trading, and developed an analytics dashboard with tools to visualize leading market indicators.