Acity Delivery Service
Conducted Qualtrics market research for feasibility study. Analyzed customer feedback for strategic recommendations. Designed the project logo, contributing to the Best Product Presentation Award.
Currently an Extern @NY RacingI combine marketing studies with hands-on sports analytics experience from a NASCAR NY Racing externship as I prepare to start my career.
Portfolio entries show coursework and the NASCAR NY Racing sports analytics externship work, with practical marketing and data-focused tasks completed during my senior year.
Conducted Qualtrics market research for feasibility study. Analyzed customer feedback for strategic recommendations. Designed the project logo, contributing to the Best Product Presentation Award.

NY Racing · ✅ Verified by Extern · ⏱️ In progress
I combine marketing studies with hands-on sports analytics experience from a NASCAR NY Racing externship as I prepare to start my career.
I am Chris Awuku, a senior marketing student completing a bachelor's degree. I have limited formal work experience and am building practical skills through a NASCAR NY Racing sports analytics externship while preparing to start my career.
Externships
NASCAR NY Racing Sports Analytics Externship
NY Racing
Experience
Retail Sales Associate (Seasonal)
Macy's Inc. · Oct 2022–Jan 2023, Maryland, USA
Retail Sales Associate (Rehired)
Macy's Inc. · Sep 2023–Dec 2024, Maryland, USA
Corporate Banking Intern
United Bank for Africa · May 2026–Jul 2026, Accra, Ghana
Education
Academic City University, Accra, Ghana
B.B.A. Marketing · Class of 2027
Skills
Conducted Qualtrics market research for feasibility study. Analyzed customer feedback for strategic recommendations. Designed the project logo, contributing to the Best Product Presentation Award.
✅ Verified by Extern · ⏱️ In progress
The externship examined sponsorship economics within NASCAR and NY Racing, analyzing how sponsorships generate revenue for racing organizations. The work surveyed sponsorship models and the components that determine sponsorship value, then summarized the tradeoffs between common approaches.

I built a reproducible data workflow that included a Conda environment, a verified package setup, YouTube Data API configuration, loaded race datasets, and verification notebooks documenting successful data checks.
The project required building a reproducible data workflow. I set up a Conda environment, created the project folder structure, installed and verified packages, configured and tested the YouTube Data API, loaded race datasets, and produced verification notebooks showing all checks passed.