DATA SCIENTIST

Turning questions
into data-driven answers

Exploring data, validating ideas, and building models that turn results into clear, actionable next steps.

Projects

Cybersecurity Capstone

End-to-end project focused on building and evaluating a cybersecurity ML pipeline.

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Cybersecurity • Machine Learning

Space Waste

Space debris tracking/analysis project using data science methods and cloud tools.

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Time Series • Clustering • AWS

Classifying Breast Cancer

Machine learning classification project focused on detecting malignant vs. benign cases.

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Classification • ML • Evaluation

School Shooting Analysis

Exploratory and visual analysis project focused on incidents, patterns, and trends.

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EDA • Visualization • Storytelling

Credit Card Fraud Detection

Fraud detection modeling with preprocessing, class imbalance handling, and performance metrics.

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Imbalance • ROC/AUC • ML

Hydrogen Power Trucks

Data pipeline + analytics project centered on hydrogen trucking and practical ETL workflows.

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Python • SQL • ETL

Parkinson’s Telemonitoring

Predictive modeling project using telemonitoring data to estimate clinical measures.

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Regression • Modeling • Metrics

Resources

Downloads and links.

Resume

Download the latest resume (PDF).

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PDF

LinkedIn

Experience, education, and recommendations.

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Profile

GitHub

Projects, notebooks, and code.

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Repositories

About

Data scientist with a background in mathematics, education, and applied machine learning. Experience includes projects in cybersecurity, healthcare, forecasting, and cloud-based analytics using Python, SQL, AWS, and data visualization tools. Holds an M.S. in Applied Data Science from the University of San Diego and focuses on building practical, data-driven solutions to real-world problems.