Nathan Ansel
Aspiring data scientist and AI engineer with expertise in data analytics, machine learning, and statistical modelling. Proficient in Python and R, with a focus on developing efficient algorithms to acquire a deep understanding and effective utilization of complex data.
Projects
CRUMS: Rethink Your Food Waste
Sep 25 - Apr 26
Led a 7-person team building a smart food-waste bin that uses Black Soldier Fly larvae to upcycle 20kg of waste a day — architecting the Jetson + dual-ESP32 system, the YOLO gatekeeper that decides what gets in, and the real-time game that makes upcycling feel rewarding.
Transportation Analytics
Aug 24 - Aug 24
Built discrete choice models (MNL, Random Forest, XGBoost) in R, combined via a soft-voting ensemble, to predict consumer trade-offs among vehicle safety-feature bundles — placing 1st runner-up in a GM-sponsored data competition.
Strengthening Urban Resilience in the Age of Fragmentation
Sep 23 - Jun 24
Modeled commuter mobility for 2 million Phnom Penh residents using kernel density estimation, backed by an automated Selenium/OpenCV traffic-vision pipeline processing 7,200 images/hour.
Optimising the Fisheries Industry in the Philippines
Jan 24 - Apr 24
Built a Mixed Integer Linear Program in Julia to optimize fish distribution and government subsidies across the Philippines' fishing supply chain.
Inventory Planning Management @ Tai Sin Electric
Jan 24 - Apr 24
Built a real-time Power BI inventory-planning dashboard for Tai Sin Electric, Singapore's largest cable and wire manufacturer, replacing gut-feel reordering with data-driven forecasts.
Food Security in Southeast Asia
Sep 23 - Dec 23
Built and iteratively refined multiple linear regression models predicting crop yield across 10 staple crops in Southeast Asia from environmental, economic, and political factors — awarded Best Project.