Independent Driver | Uber
January 2022 - Present
Provide reliable transportation while maintaining a 4.98-star rating and resolving customer concerns with professionalism.
Resume
Data science grounded in statistical rigor.
My work brings together statistical modeling, machine learning, geospatial analysis, and public data to produce clear, reproducible evidence.
Experience
Professional history.
Data Science Intern | SANDAG
October 2022 - October 2023
Developed data pipelines, GIS assets, open-data products, regional employment analyses, and automated UN Sustainable Development Goal indicators.
Education
Statistical foundation.
MS, Statistics
San Diego State University · May 2020
BS, Applied Mathematics
Minor in Mechanical Engineering · UC San Diego · June 2015
Selected projects
Recent analytical work.
Completed July 2026
Survival Classification in Critically Ill Patients
Built a leakage-aware R logistic regression model using admission data from 112 patients, achieving 73.9% held-out accuracy.
Completed August 2026
Predicting Prostatic Capsular Penetration
Compared interpretable logistic regression models with repeated cross-validation, achieving a mean ROC AUC of 0.810.
Technical toolkit
Python · R · SQL · Statistical modeling · Machine learning · Cross-validation · ArcGIS Pro · Tableau · Google BigQuery · Azure