I'm an undergraduate senior interested in algorithm design and machine learning, with a particular passion for algorithmic optimization. My most recent project is a Trading Engine that allows users to test trading strategies on historic stock market data. By customizing the speed and timescale, users can evaluate scalping, day-trade, swing-trade, and long-term strategies.
Utilized SQL in Azure Synapse and Python to identify and correct data inconsistencies in ingestion pipelines, ensuring accurate data for business analysts. Enhanced a data validation tool for multiple databases (Synapse, DB2, Oracle, SQL Server), automating the validation process and eliminating manual effort, thereby preventing human error. Improved the tool's GUI and added features such as new file type support, row/column selection, filtering, and sample output.
Developed product that creates educational lesson plans and identifies associated state standards and guidelines - applied vector embeddings to enhance GPT-4 using Python.
Led project-based courses in machine learning, computer vision, and C++ programming to classes of 8-10 high-school students. Due to courses’ emphasis on original code, the role required an advanced ability to quickly read, implement, and debug code.
Led study using machine learning and brain-computer interfaces to analyze teenage sleep habits. Published paper in 2022 HCI International Conference that describes an algorithmic approach to optimizing teenage sleep health.
Maintained the website for Swarthmore College’s newspaper using Pantheon and WordPress.
Assessed computational approaches to normalize protein expression data using R. Worked Closely with members of Broad’s proteomics team, regularly presented findings.
Updated: 7/15/24
