Applied Analytics & Data Engineering

Bruce Gavins

267-***-**** ***********@*****.*** linkedin.com/in/bruce-gavins github.com/brucegav Professional Summary

Computer Science graduate with a clinical background in neurodiagnostics and 11+ years of experience scaling an e-commerce operation to $5M in annual revenue. Skilled in data wrangling, predictive modeling, and visualization, with a portfolio of applied analytics projects spanning sports, finance, and consumer behavior. Technical Projects

NBA Trades Database PostgreSQL, FastAPI, Python, pandas, BeautifulSoup

• Architected a relational PostgreSQL database covering every NBA trade, draft pick, and draft selection from 1946–2026, spanning 5 linked tables and 47,000+ rows

• Built a FastAPI REST API with 19 endpoints across 6 modules, including recursive draft-pick resolution and team win-share ranking analysis

• Collected and cleaned source data via a custom BeautifulSoup scraper of Basketball Reference, using fuzzy name matching (rapidfuzz) to resolve player identity across decades of inconsistent records EAEP: Era-Adjusted NFL Franchise Performance Model Python, Scikit-Learn, pandas, Statistical Modeling

• Designed an original metric (Era-Adjusted ELO Percentile) to rank NFL franchise performance across 100 years while correcting for league-size and era bias

• Built a logistic regression model predicting franchise decline, validated at 84% accuracy against real out-of-sample outcomes (2022–2025)

• Quantified coaching stability’s effect on franchise performance (26.8% of variance explained, p = 0.002) across all 32 franchises

Interactive Financial Analysis Dashboard Python, Streamlit, Plotly, CSS

• Built a full-stack monitoring app featuring live market data fetching and automated Sharpe Ratio/RSI calculation

• Designed a responsive UI with custom CSS injection and interactive visualizations Predicting Vehicle Fuel Economy Python, Scikit-Learn, Ridge Regression

• Developed a Multiple Linear Regression model achieving a Test R 2

of 0.899 via advanced feature engineering

Education

Thomas Edison State University Oct. 2025

Bachelor in Computer Science Trenton, NJ

• Maintained a 3.5 GPA; Received Academic Excellence Award for high-standing achievement Certifications

FreeCodeCamp: Python for Data Science

DS: Unsupervised Learning (Maven)

DS: Regression & Classification (Maven)

DS: Data Prep & EDA (Maven)

Data Analysis w/ Pandas (Maven)

Neural Nets & Deep Learning (Maven)

NLP in Python (Maven)

Financial Modeling (Maven)

Experience

Liberty Bell Breaks Oct. 2014 – Present

Operations Data Analyst (Founder/Owner) Evesham, NJ

• Scaled operations to $5M peak annual revenue, managing 100,000+ transactions via eBay and Shopify

• Optimized inventory for 200k+ items by implementing forecasting models to align stock with market demand

• Developed a SQL-based database to track profit margins, sell-through rates, and critical business KPIs Hahnemann University Hospital 2005 – 2015

Neurodiagnostic Technologist Philadelphia, PA

• Conducted high-precision EEG and EMG testing in clinical neurology and inpatient critical care environments Technical Skills

Languages: Python (Pandas, NumPy, Scikit-Learn), SQL, R, Java, JavaScript, C++ Tools & Libraries: Streamlit, Plotly, SciPy, Tableau, Power BI, Git, MySQL, PostgreSQL, SQLite, Google Cloud, Jupyter Notebook, Excel, Google Sheets

Healthcare: Cerner Millennium (Oracle Health), HIPAA Compliance

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