Data Science
Projects
Data science, analytics, and applied technical projects built across academic and professional contexts.
Digital Transfer Fees Scraper
Tracks InstaPay and PESONet transfer fees across BSP-supervised banks, e-wallets, and EMIs by scraping official websites, press releases, and social channels. Uses an LLM for fee extraction instead of regex parsing, with a browser-automation fallback for JavaScript-heavy sites, structure-change detection, and a searchable dashboard with full source audit trails. Runs daily via GitHub Actions. Still an ongoing pet project.
PESONet & InstaPay Volume & Value Monitor
A small Streamlit dashboard that pulls live PESONet and InstaPay volume and value data directly from BSP-published sources, with dynamic header detection, offline caching fallback, interactive trend charts, and CSV export. A minor demonstration of what's possible with just GitHub and Streamlit, without a database or ETL pipeline.
Pharmacy Accessibility & Urbanicity in the Philippines
Geospatial analysis of pharmacy accessibility across urban and rural areas in the Philippines, combining OpenStreetMap pharmacy locations with Philippine Statistics Authority population data. Applies K-Medoids clustering and spatial analysis across 5,436 pharmacies to examine accessibility by urbanicity level and amenity clustering patterns. Companion code repository for the published paper in Healthcare Analytics.