Kath Antonielle

At Asian Institute of Management, I built a model to predict hospital tiers across 1,600+ Philippine LGUs. By combining public health, population, poverty, birth, and OpenStreetMap data, I delivered a gradient boosting model with 90% accuracy and flagged 8 LGUs with less hospital capacity than expected.

For a separate Formula 1 study, I engineered performance metrics for 77 drivers and compared clustering methods. The analysis identified four driver archetypes that two independent methods agreed on perfectly.

For the Terraza Teresita Resort client project, I built a full-stack booking platform with scheduling, booking-overlap prevention, and a GCash payment flow. I also developed an admin dashboard for tracking bookings, availability, and revenue, and took the project from requirements gathering through launch.

I'm pursuing a Bachelor of Science in Data Science at Asian Institute of Management, alongside a Bachelor of Business Administration in Management Information Systems at University of Houston, C.T. Bauer College of Business. I’m interested in data science, analytics, and quantitative research, where I can use rigorous modeling to turn complex data into clear, decision-ready insights.