✅ Verified by Extern

Data Analytics, Health Outcomes Externship with ARCeH

Here’s what the data says: put a pin in Bangkok. Draw a five-hour flight radius around it. You just circled half the world's population. And half of those people are kids under five, an age where survival itself isn't guaranteed. Five isn't an arbitrary number: it's the line researchers use as a proxy for a country's overall health, because almost every preventable childhood death, driven by a bad water source, poor air quality, or an infection nobody caught in time, happens before it. Clear five, and the odds of reaching adulthood jump astronomically. Don't, and the cause almost always traces back to poverty, healthcare access, environmental risk, or nutrition, something that could have been mapped, measured, and prevented in time. That's the gap this externship exists to close: turning scattered, messy public data into a specific, defensible answer about what's actually driving that risk in a given place, and pass it to the people at ARCeH who want to know about it.

UMass CICS Undergraduate Research Volunteer

Collaborated with four undergraduate researchers and a PhD mentor to investigate the computational complexity of the linear separability problem Designed and implemented an algorithm in Python to solve the linear separability problem Synthesized research methodology and findings into an academic poste

Mathematical Models - MATH 456

Collaborated with a six-person team to develop mathematical models for six datasets using R. Applied statistical methods, including linear regression, cluster analysis, and outlier detection, to identify patterns and analyze data. Documented analytical findings and presented results, communicating statistical insights and modeling outcomes

GET Laundry Redesign - CompSci 325

Collaborated with a four-person team to evaluate and improve a digital laundry service experience. Collected and analyzed user feedback through surveys, interviews, and cognitive walkthroughs. Developed a prototype incorporating a scheduling heatmap and additional payment options based on identified user needs.