DATA SCIENTIST
Turning questions
into data-driven answers
Exploring data, validating ideas, and building models that turn results into clear, actionable next steps.
DATA SCIENTIST
Exploring data, validating ideas, and building models that turn results into clear, actionable next steps.
End-to-end project focused on building and evaluating a cybersecurity ML pipeline.
View on GitHub →Space debris tracking/analysis project using data science methods and cloud tools.
View on GitHub →Machine learning classification project focused on detecting malignant vs. benign cases.
View on GitHub →Exploratory and visual analysis project focused on incidents, patterns, and trends.
View on GitHub →Fraud detection modeling with preprocessing, class imbalance handling, and performance metrics.
View on GitHub →Data pipeline + analytics project centered on hydrogen trucking and practical ETL workflows.
View on GitHub →Predictive modeling project using telemonitoring data to estimate clinical measures.
View on GitHub →Downloads and links.
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.