HP Abbott / Portfolio
Hampton Abbott

Hampton Abbott

Sports Analytics & Data Science — Turning data into decisions

About me

High-achieving Sports Analytics student and Chancellor's List honoree (4.0 GPA) at UNC Charlotte, with a decade as a business operator and hands-on experience in data analysis, predictive modeling, and customer analytics. I turn data into decisions — and build the tools that act on it.

I am a Sports Analytics major at UNC Charlotte with a deep-rooted passion for the statistics that drive the games we love. While my technical focus is on optimizing performance and strategy in sports, I am equally driven by a passion for digital privacy. I believe that as we collect more data — on the field and off — we have a growing responsibility to handle that information ethically.

My goal is to merge these interests, exploring how high-level analytics can coexist with robust data privacy standards. 10+ years of business experience applying analytics across fleet management, e-commerce, events, and residential services.

Projects

Screenshot of the Teamora web app results page showing balanced student team assignments and team-quality metrics.
Featured · Live App
Teamora — Student Team-Formation Web App
Python · Streamlit · scikit-learn · scipy

A live web app that helps instructors form balanced student teams — built from my own research, with four matching models and a privacy-first design.

Screenshot of the Credit-Risk Default Prediction Tableau dashboard showing default rate by loan grade, risk by purpose and state, a borrower-segment heatmap, and a model-performance summary.
Live Dashboard
Credit-Risk Default Prediction — Loan-Default Model & Dashboard
SQL · Python · scikit-learn · Tableau

A normalized SQL database of 1.35M consumer loans, with scikit-learn models that flag loan default at 0.716 ROC-AUC and an interactive Tableau dashboard of the risk segments — including a borrower-only model that edges out the lender's own credit grades.

Skills & Background

Technologies I use across data analysis, modeling, and development.

🐍
Python
Primary
🗄️
SQL
Queries & DBs
Java
OOP
🐼
pandas
Data wrangling
🔢
NumPy
Numerical
📊
matplotlib
Visualization
🎨
seaborn
Statistical plots
🏈
nflverse
NFL data
🌿
Git / GitHub
Version control
💻
VS Code
Editor
📓
Jupyter
Notebooks
UNC
UNC Charlotte
B.S. Sports Analytics
Expected May 2027
USC
University of South Carolina
B.S. Business Administration
Darla Moore School of Business

Recent Posts

Data ethics, sports analytics, and social contexts.

Let's connect

Open to data analyst roles, sports analytics projects, and freelance analytics work. Charlotte, NC — available remotely.

Let's work together

Open to data analyst roles, sports analytics projects, and freelance analytics work. Charlotte, NC — available remotely.

Get in touch →
Dear recruiter,

Running a sports analytics portfolio isn't for the faint of heart. Especially when you want to do it right. It can be hard to get clean data. You need good questions. Specifically demand careful, reproducible analysis.

We sometimes forget that. They take a long time. Require care.

That's why I did it in the right way.

Love, only me.

Hampton Abbott
Sports
Analytics
@ UNCC

When you let data speak clearly,
better understanding follows, faster.

Start here