Projects
I built a machine learning pipeline to explore and simulate dynamic pricing strategies using ride data from Uber and Lyft in Boston. Compared base prices, real-world surge pricing, and a custom demand-estimated model driven by economic theory. I developed an interactive Streamlit app to visualize and compare pricing strategies, showing how prices change based on time, weather, and demand conditions.
I investigated Quarterback versatility by leveraging player-tracking and play-by-play data. This project aims to identify the effectiveness of NFL quarterbacks during the 2021-2022 season when throwing from different positions, angles, and distances as well as their overall performance from various areas of the field. Through this analysis, we seek to identify quantitatively which QBs exhibit the most throwing versatility.
Coming Soon!
I built machine learning models to predict profitable short-term trades in volatile cryptocurrency markets using limit order book (LOB) data from Coinbase. Leveraging clustering techniques like KMeans and Birch, I engineered features capturing market “precursors” and “surges” to distinguish good trades from bad ones. To address class imbalance in rare profitable events, I used synthetic resampling and achieved over 90% prediction accuracy with classifiers like KNeighbors and ensemble voting models. This work demonstrates how combining unsupervised learning and feature engineering can uncover patterns critical for high-frequency trading strategies.
I explored how bispecific antibodies targeting CD3 and CD123 receptors drive cancer cell death by building computational models in RuleBender and MATLAB. My analysis investigated how varying drug doses and receptor affinities affect therapeutic outcomes in both the CD3–CD123 and THP1x models. Through simulations and heatmaps, I identified critical thresholds where increased drug concentration no longer improved cell killing, revealing key mechanistic insights and differences in model sensitivity. This work advances understanding of bispecific antibody dynamics and optimal dosing strategies for treating acute myeloid leukemia.