...in no particular order.
Written by Natnael Getahun
In this project, I investigate the determinants of success for Micro and Small Enterprises (MSEs) in Ethiopia. I walk through a rigorous econometric process, addressing heteroscedasticity through log transformations and Weighted Least Squares (WLS), finally achieving a model that explains 81.6% of capital variability.
A deep dive into spatial smoothing, overdispersion, and disease mapping in the Gambela region using the Malaria Atlas Project data.
I explore how clustering algorithms like KMeans can be applied to create better sampling methods than using sub-city boundaries in Addis Ababa using spatial data, helping researchers and data collectors rethink how areas are grouped. A starting point, not the final word.
Choosing our research topic came naturally when we were assigned our project as third-year statistics majors. We had already observed distinct patterns in how students across different departments and academic years were were using AI tools on campus. Our goal became clear… quantify and visualize this growing dependency. What followed was an insightful journey of dicovery (and a few mistakes along the way). Here’s a look at our findings.
Around March, 2025, my friends and I had the idea to start a gaming tournament among ourselves. Our favorite game was a 2024-modded version of Pro Evolution Soccer 2017 (PES 2017). Right away, I knew I wanted to build an interactive dashboard to visualize our gaming stats, ending debates and trash talks we had once and for all.