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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

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hamptonabbott/README.md

Hampton Abbott

Sports Analytics @ UNC Charlotte (B.S., May 2027) · 4.0 GPA · prior BSBA, Marketing & Management (USC)

10+ years running businesses — fleet operations, e-commerce, events — now building the analytics I used to wish I had. I turn data into decisions, and ship the tools that act on them.

Portfolio: hamptonabbott.com · LinkedIn · abbott.hampton@gmail.com

Featured projects

Project What it is Stack
Teamora — live app Deployed web app that forms balanced student teams from a quick survey — 4 matching models, 6-metric quality scoring Python, Streamlit, scikit-learn
Credit-Risk Default Prediction — live dashboard Default prediction on 1.35M Lending Club loans — normalized SQL database, 0.716 ROC-AUC SQL, Python, scikit-learn, Tableau
Predicting the Madness NCAA tournament model — 46 of 59 games (78%) on the unseen 2026 bracket, including the champion Python, scikit-learn, XGBoost

Toolbox

  • Languages — Python · SQL · Java
  • Data & ML — pandas · NumPy · scikit-learn · XGBoost · matplotlib · seaborn
  • Tools — Tableau · Streamlit · Jupyter · Git · Excel

Currently

Open to data, business, and sports analyst roles — Charlotte or remote. Graduating May 2027.

Pinned Loading

  1. teamora teamora Public

    Form balanced student teams from a quick survey — a Streamlit web tool for instructors, for any course.

    Python

  2. credit-risk-analysis credit-risk-analysis Public

    Credit-risk default prediction on 1.35M Lending Club loans — SQL schema & analysis, scikit-learn models (0.716 ROC-AUC), and a Tableau dashboard.

    Jupyter Notebook

  3. predicting-the-madness predicting-the-madness Public

    NCAA tournament prediction model — 78% accuracy on the unseen 2026 bracket, including the champion. Python, scikit-learn, XGBoost.

    Jupyter Notebook 1

  4. home-field-advantage home-field-advantage Public

    Exploratory analysis of NFL home-field advantage, 2000–2023 — 6,175 games from nflverse. Python, pandas.

    Jupyter Notebook