CS + STATISTICS + APPLIED ML
M.S. candidate in Data Science & Statistics at UT Dallas, applying statistical modeling and machine learning to messy, real-world problems, recently in healthcare analytics, energy, and consumer systems.
About
Several of the projects on this site started as hackathon builds or class assignments that I continued developing after the deadline passed.
Recent work includes extracting structured signal from FDA drug-safety reports, modeling healthcare access gaps across Nigeria, and detecting anomalies in oil well sensor data. Across each of these, the focus has been building systems that hold up on messy, real-world data, not just clean benchmarks.
Education
The University of Texas at Dallas · Richardson, TX
Texas A&M University · College Station, TX · GPA 3.586
Selected work
BUILD 05 — JUN 2026
Mining 20M+ FDA adverse-event reports to surface drug-safety signals that raw counts miss.
View project →BUILD 04 — JUN 2026
Modeling healthcare access risk across all 774 local government areas in Nigeria.
View project →BUILD 03 — 2025
Detecting frac hits between neighboring oil wells in real time, at 90%+ classification accuracy.
View project →BUILD 02 — 2024
A point-of-sale and self-service kiosk system built to reduce order wait times.
View project →BUILD 01 — JAN 2025 · BEST STARTUP, TAMUHACK
A Chrome extension that gamifies Canvas assignment tracking.
View project →Toolbox
Experience
AdiLabs.ai · Richardson, TX
Modeling rare-disease progression using longitudinal patient event data, in partnership with AdiLabs.ai through the UT Dallas Biotech Club. Exploring knowledge graph and ontology-based approaches to link clinical concepts and improve structured patient monitoring.
Texas A&M Aggie Research Scholars Program · College Station, TX
Improved image classification accuracy for cotton morphology by labeling, cleaning, and preprocessing large-scale agricultural datasets. Developed instance segmentation models and contributed to a mobile app for field use by farmers.
Leadership
UT Dallas Sports Analytics Club · Richardson, TX
Mentor student teams on sports analytics projects, including debugging Python code, improving data pipelines, and guiding end-to-end project execution.