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Computer science grad student focused on sports analytics

Graduate CS student at CUNY Queens College, working on sports analytics projects and an externship with NY Racing to gain hands-on data experience.

Work samples

Portfolio of academic projects and applied analytics work, including a NASCAR NY Racing sports analytics externship focused on processing and analyzing race data.

  • Signal Watch
    Signal Watch

    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.

    Next.jsTypeScriptPostgreSQLGoogle Gemini APISEC EDGAR APIXBRL APIVercel

About me

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

Computer Science fundamentalsData analysisSports analyticsPythonSQL

✅ Verified by Extern · ⏱️ In progress

NASCAR NY Racing Sports Analytics Externship

PythonData Analysis

Overview

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.

NASCAR NY Racing Sports Analytics Externship

What I've accomplished

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.

Project breakdown

View all work

Signal Watch

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.

Next.jsTypeScriptPostgreSQLGoogle Gemini APISEC EDGAR APIXBRL APIVercel
View all work