Applied data science projects
Analysis built around consequential questions.
Selected work in healthcare, transportation, and public-sector analytics, with an emphasis on reproducible methods and honest evaluation.
01
Healthcare Analytics
Survival Classification in Patients
An admission-time logistic-regression study that corrects data leakage and evaluates survival classification on held-out patients.
02
Public-Sector Analytics
SANDAG Data Science Experience
Employment, mobility, GIS, and open-data products built to support regional planning across San Diego County.
03
Predictive Modeling
Predicting Prostatic Capsular Penetration
A reproducible logistic-regression study of prostatic capsule penetration, comparing a 2018 benchmark with prespecified modern models.