Data-Driven Solutions

Welcome to my portfolio of select data science and analytics projects. I specialize in transforming complex data into actionable insights through statistical analysis, machine learning, and data visualization.

With a background in economics, business, computer science, and mathematics and a focus on practical applications, I help organizations make informed decisions and manage risk.

Featured Projects

GBM Framework Python Package

A unified framework for Gradient Boosting Models with automated hyperparameter tuning, SHAP analysis, and system optimization.

Python Machine Learning PyPI Package

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GNMA Delinquency Dashboard

Interactive dashboard analyzing government-backed mortgage (GNMA) portfolio performance by state.

Tableau Financial Analysis Data Visualization

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Fleet Electrification Benefit-Cost Analysis

Comprehensive benefit-cost analysis of transitioning a municipal vehicle fleet from internal combustion engines to electric vehicles.

Python Cost-Benefit Analysis Sustainability

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Gradient Boosting Performance Analysis

Comprehensive performance evaluation of gradient boosting algorithms across several datasets using the GBM Framework.

Machine Learning Performance Analysis Python

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