
NY Racing · ✅ Verified by Extern · ⏱️ In progress
NY Racing Externship via ExternGraduate CS student at CUNY Queens College, working on sports analytics projects and an externship with NY Racing to gain hands-on data experience.
Portfolio of academic projects and applied analytics work, including a NASCAR NY Racing sports analytics externship focused on processing and analyzing race data.

NY Racing · ✅ Verified by Extern · ⏱️ In progress
Built a full stack credit research platform that generates a fully sourced credit memo from a stock ticker using SEC filings, XBRL, financial data, and Google Gemini API. Created an LLM validation layer that checks every Gemini extracted quote against the source filing and automatically removes any generated statement with unsupported figures. Built a rate limited, cached SEC data pipeline that normalizes XBRL financials across reporting periods and streams progress updates to the client in real time. Stored company relationships as a graph in PostgreSQL and built an interactive React Flow map and a rules based watchlist that flags companies needing analyst attention.
Graduate CS student at CUNY Queens College, working on sports analytics projects and an externship with NY Racing to gain hands-on data experience.
I am a graduate computer science student at CUNY Queens College pursuing a bachelors degree. I have limited professional experience and I'm building practical skills through projects and a NASCAR NY Racing sports analytics externship with NY Racing.
Externships
NASCAR NY Racing Sports Analytics Externship
In progress
Experience
Software Engineer Intern
Brandywine Chemical Works · Sep 2026 – Present
Sports Analytics Extern
Extern, NY Racing · Jun 2026 – Aug 2026
Product Management Intern
Unadat · Jun 2022 – Aug 2022
BPL Intern
CUNY Building Performance Lab · Jun 2019 – Aug 2019
Education
The City University of New York (CUNY) Queens College
B.A. in Computer Science, Minor in Applied Mathematics · Class of May 2026
Skills
✅ Verified by Extern · ⏱️ In progress
The project examined how sponsorships generate revenue within NASCAR and NY Racing, comparing common sponsorship structures and revenue approaches across teams and organizations. The work organized findings into a concise reference that summarized sponsorship models and how they are used to support team operations.

I analyzed sponsorship structures across NASCAR and NY Racing, selected target sponsors to track, and documented a scoped project brief that guided the analysis and visibility scoring work.
Built a full stack credit research platform that generates a fully sourced credit memo from a stock ticker using SEC filings, XBRL, financial data, and Google Gemini API. Created an LLM validation layer that checks every Gemini extracted quote against the source filing and automatically removes any generated statement with unsupported figures. Built a rate limited, cached SEC data pipeline that normalizes XBRL financials across reporting periods and streams progress updates to the client in real time. Stored company relationships as a graph in PostgreSQL and built an interactive React Flow map and a rules based watchlist that flags companies needing analyst attention.