I’m Diego Garcia, a Computer Science major at the University of Missouri – Columbia (Mizzou),
with a strong interest in Data Science, Machine Learning, and software development.
Outside of my technical work, I’m a big fan of soccer, Mizzou sports, and sports in general — especially football and baseball.
I also enjoy traveling, staying active, cooking, exploring new technologies, and spending time with friends and family.
Feel free to check out my Projects, Resume, or contact me if you would like to connect.
More details and information about my projects can be found through my GitHub
MLB Predictor is my first Machine Learning project, where I built a model to predict the outcomes of Major League Baseball games. It extracts data from the MLB API, using team-centric stats like ERA, OPS, and WHIP to inform its predictions. This was such an enjoyable project as I explored how to manipulate display data with different types of charts and graphs using the Matplotlib library. Pictured are some graphs I created using some of the data I extracted.
Stock Predictor is another Machine Learning project I built to follow and predict the S&P 500 index. I am planning to add more to this project by streaming live data and incorporating real-time predictions, not just with the S&P 500, but with many more individual stocks as well. So far, this project predicts if the S&P 500 will go up or down in the following day. The model uses historical price data, trading volume, and other relevant features like the rolling averages to make its predictions.
QuizMe is a lightweight quiz-builder I developed with the MERN stack— MongoDB, Express.js, React, and Node.js—that runs entirely in the browser for a single user. It lets you design unlimited quizzes with rich-text questions and multiple answer formats, take them instantly, and receive immediate scores. Every attempt is stored in MongoDB so you can revisit past results and track your progress over time. With a responsive React interface and a clean Express API, QuizMe showcases my ability to craft a focused full-stack app that delivers a streamlined, self-contained learning tool without logins, sharing links, or external services.
Visited Las Vegas for the first time with my friends. Lost a large chunk of change in the casinos, but had a great time exploring the city and enjoying the nightlife.
I visit Mexico often, visiting my family in their small hometown. While on my trip, I celebrated my cousin's wedding and enjoyed the beach aftwards.