Turning data into knowledge, One step at a time
One of my favorite parts of the SURE Program was experimenting with different machine learning models. Going in, I thought the whole goal was to find the model that performs best. But what I discovered is that each model looks at the problem differently, and sometimes the real value comes from comparing their perspectives. The... Continue Reading →
This past summer, I had the chance to take part in the Summer Undergraduate Research Experience (SURE) at Lewis University, and honestly, it was one of the coolest things I have ever done as a student. I had done plenty of projects before, like analyzing Pokémon stats, cleaning up UFO sighting reports, or even building... Continue Reading →
Source: https://x.com/Pokemon/status/1106326121228857344/photo/1 This project started with a simple question:"Is there a relationship between a Pokémon’s type and its base stats?" That’s how most data projects begin: with curiosity and a CSV. I loaded the full Pokédex dataset expecting to run some basic distributions: maybe compare average Attack across types, or see if Dragon-types really are... Continue Reading →
When I started digging into the UFO Sightings dataset, I wasn't looking for little green men. I was curious about the patterns hiding behind decades of reports. What people saw, when they saw it, and where they were when it happened. As someone passionate about data storytelling, this project gave me the perfect opportunity to... Continue Reading →
Learning with Data 