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B.S.

University of Florida

Data Science

• Regression Analysis
• Intro to Probability
• Linear Algebra for Data Science
• Data Structures and Algorithms
• Discrete Structures
• Programming with Data in R
• Computational Math

Data Science Intern

Walmart

Developed multi-model regression ensemble for transportation optimization.

• Built ensemble model (XGBoost, RF, Extra Trees, LightGBM, Prophet, ARIMA) to optimize outbound shipments with 85%+ accuracy, beating production model by 3%.
• Projected $1M ARR savings by streamlining 15,000 weekly load forecasts, cutting empty miles and variance.
• Cleaned and joined item/routing data in SQL; evaluated demand signals with confidence intervals and variance analysis.
• Collaborated in Agile/Jira setup, participating in sprint planning, stand-ups, and one-on-ones with manager.

Research Assistant

Nettles Lab at UF Scripps Institute

Built self-supervised autoencoder pipeline for hormone-sensitive cancer datasets.

• Applied dimensionality reduction and clustering to study treatment effects.
• Used normalization, decorrelation, and cross-validation to improve model reliability.
• Optimized model performance to analyze steroid hormone receptor structures.

Teaching Assistant

University of Florida Statistics Department

Supported 500+ students in statistics coursework.

• Reinforced regression, chi-square, and ANOVA through office hours and review sessions.
• Developed exams and assignments emphasizing applied stats concepts.

Research Assistant

UF Health Outcomes and Biomedical Informatics

Researched protein–peptide binding and hypertensive disorder detection under Dr. Dominick Lemas.

• Developed CNN for protein–peptide binding prediction rivaling AlphaFold.
• Built PyTorch NN on EHR data to detect hypertensive disorders with 96.5% accuracy.
• Analyzed 600,000+ EHRs, creating a data dictionary for obesity and hypertension impacts.

Workshop Archive

Developed and managed workshops in a GitHub repository, organizing materials for members' self-directed learning.

Tampa Bay Rays – Pitching Research

Collaboration with Tampa Bay Rays on pitcher performance consistency.

Jason's Journey

Developed roguelike game in Pygame with AI-driven gameplay.

Workshop Coordinator

Data Science and Informatics Club

Organized and taught interactive workshops for 400+ members.

• Coordinated UF DataFest hackathon; team won Best Presentation (2024).
• Designed workshops on Python, SQL, XGBoost, and applied data science skills.