Predicting Student Performance Using Machine Learning

Designed, Implemented, trained, and tested neural network to predict the performance of students using Deep Learning (DNN)-MAT-LAB project

Mathematical Modeling in Drug Delivery

Utilised mathematical models such as diffusion and compartmental models to analyze data related to drug delivery mechanisms and optimize drug efficacy. Applied mathematical principles such as differential equations, probability theory, and optimization algorithms to model drug transport and distribution within organs and tissues.

✅ Verified by Extern · ⏱️ In progress

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.