About Me
Hey there! I'm currently a Junior at Vanderbilt University studying Applied Mathematics and Computer Science. For the past five years, I've been highly interested in the financial markets and intersecting this passion with my skills in data science and software engineering.
My expertise mainly lies in utilizing machine learning (ML) models for classification tasks, a skill that I've built up from my first ML project in using an ensemble, multimodal method to diagnose Parkinson's Disease, after being inspired by my late uncle's condition and circumstances.
Outside of markets, my hobbies include long-distance running, weightlifting, comic books, philosphy, and tennis. I'm also a big fan of standup comedy, and religiously playing LinkedIn's Tango, Zip, and Queens.
Featured Projects
My Skills
Work Experience
Investment Data Science & Software Engineering Intern
Conducted backtests on strategies, signals, indicators, for position entry/exit, sizing, and risk management. Also performed in-house software development, ad-hoc analysis using alternative data, to find alpha-generating sources of information.
Computational Research Assistant
Data preprocessing and handling of fasta files for genetic sequences. Worked with ABSD database of 1.3 million+ RNA sequences. Utilized ProgenV2-oas LLM model for antibody discovery.
IT & Analytics Intern
Utilized Monte-Carlo method for simulating commercial real estate investment properties success under various market factors. Conducted internal software development & IT solutions.
Artificial Intelligence Consultant
Ideated machine learning and cloud migration solutions for nonprofit organization that provides low-cost auto loans to underserved demographics. Project completed as part of 180 Degrees Consulting @ UT Dallas.