NY Racing · Oct 2026 · ✅ Verified by Extern
NASCAR NY Racing Sports Analytics Externship
PythonData Analysis
SRStudent·🟢 Open to work
Computer Science freshman focused on practical data skills
First-year CS student at Penn State, building technical skills through coursework and a sports analytics externship.
Work samples
Portfolio includes a NASCAR NY Racing sports analytics externship with NY Racing, focused on hands-on analytics practice and skill development.
NASCAR NY Racing Sports Analytics Externship
About me
First-year CS student at Penn State, building technical skills through coursework and a sports analytics externship.
I am a first-year Computer Science student at Pennsylvania State University working toward a bachelors degree. I have limited work experience and am focused on building technical and professional skills. I completed a NASCAR NY Racing sports analytics externship with NY Racing to gain hands-on data experience.
Externships
NASCAR NY Racing Sports Analytics Externship
Completed · Oct 2026
Experience
Intern
Wayora Styleverse · Jun 2026 - Oct 2026
Education
The Pennsylvania State University
AI Engineering · Class of 2029
Skills
Computer Science fundamentalsSports data analytics (externship experience)Basic data analysis workflowsProblem solvingWillingness to learn new toolsAI Powered AnalyticsPythonJupyter NotebookData Analytics
✅ Verified by Extern
NASCAR NY Racing Sports Analytics Externship
PythonData Analysis
Overview
The externship compared team- and series-level sponsorship arrangements within NASCAR and compiled an economic overview of common motorsports partnership models. The work gathered data sources, defined research questions and success criteria, and produced a reproducible timeline and plan for measuring sponsorship visibility and ROI.
Google Slides
AccessWhat I've accomplished
I produced a project brief that scoped an eight-week visibility analysis, listed data sources and selection criteria, selected five benchmark sponsors, defined research questions and success criteria, and created a reproducible timeline and data-collection plan.