Turning data into knowledge, One step at a time
I can’t believe it, this is officially my last semester as a senior at Lewis University. It feels surreal to be this close to the finish line, but what makes it even better is that I get to wrap things up with some incredible classes. This semester, I’m taking Linear Algebra, Numerical Analysis, Machine Learning,... Continue Reading →
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 →
If you’ve ever started a data project from scratch, you know the truth: finding a good dataset is often the hardest part. While Kaggle and GitHub are great, most of the time, real-world projects don’t come with tidy CSV files ready to go. You have to get your hands dirty and fetch the data yourself.... 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 →
https://realpython.com/pycon-guide/ As I was flying back to Chicago, I found myself wondering, Should I write something about PyCon this year? The answer came to me instantly—and loudly: YES! All caps. With a huge exclamation mark. This was my second time attending PyCon, and honestly, the experience was just as exciting as the first. In a... Continue Reading →
Hey folks, It’s been a little quiet around here lately, and I just wanted to check in and share what’s been going on. The short version? Life got busy. The kind of busy that makes you forget what a weekend feels like. Over the past couple of months, I’ve been: Helping run a hackathon (yes,... Continue Reading →
IntroductionWhat would you do if you had just over a month to plan a hackathon from scratch? That was the challenge our CS club faced. With no prior playbook, just determination and teamwork, we pulled off an event that brought students together, sparked creativity and taught us invaluable lessons. Here’s how we did it. Starting... Continue Reading →
When the semester ended and winter break began, I saw it as the perfect opportunity to focus on skill-building. I spent time diving deep into data manipulation with Pandas and experimenting with machine learning models. It was a challenging yet rewarding experience that left me feeling more confident and equipped for future projects. Here’s what... Continue Reading →
Learning with Data 