Data, art, and the science of being curious

I participated in the BDI Hackathon 2026, where I recorded valuable insights from various workshops and team interactions. I transformed my notes into an article summarizing essential takeaways on problem-solving methodologies, AI development tools, and effective pitching techniques. The event emphasized understanding users deeply and iterative development for impactful solutions.

This project aims to replicate and analyze the 2014 Strack et al. study on hospital readmissions among diabetic patients using modern data science methods. It involves extensive statistical modeling, data preprocessing, and improved visualizations. The findings highlight significant yet counterintuitive relationships within the data, addressing critical issues in patient care.

This project focuses on pharmacovigilance using the FDA’s FAERS database to analyze drug safety signals. It details methodologies for data extraction, cleaning, and statistical analysis using R and Python. Key findings highlight significant adverse event patterns, particularly for GLP-1 receptor agonists, with insights on demographic variations and ongoing challenges in data interpretation.

Explore Thailand’s public transportation analysis (2025-2026). Analyze BTS, MRT, and ARL ridership growth, volatility, and holiday travel patterns in Bangkok

A data-driven look at the Thai biosimilar market. Using Power BI to analyze patent gaps and healthcare data to find new opportunities for patient access.

Exploring Chiaroscuro through Moo-dang, my “Red Pork” cat. A self-taught journey of mixing light, shadow, and the courage to show imperfect art to the world.

This is a Rock Paper Scissors game I built in R! This project was actually an exercise from a data analysis course I enrolled. It was a fun way to practice the logic of coding How to play To play this game, you will need to run the code in an R environment. You can…