I am set to graduate from the University of Illinois at Urbana-Champaign in December 2024 with a strong passion for Computer Science, which I am excited to demonstrate through some of my key projects. As a Veteran, I bring a high level of adaptability and a diverse range of experiences. My background as a Diesel Mechanic sparked my interest in embedded systems, where diagnosing CAN systems developed my troubleshooting skills, especially for electronic projects. My academic and professional focus lies in Big Data, with a particular interest in Mathematics, Statistics, Artificial Intelligence, and Data Analytics. Most of my professional experience involves implementing full-stack cloud solutions to collect, monitor, and analyze data, enabling data-driven decision-making.
Click on any of the projects below to learn more!
HackIllinois 2021 Winner of Caterpillar's Data Analytics Challenge. My team created a mobile app for fleet management with data analysis to predict if vehicles needed maintenance.
Using Supervised Machine Learning (Random Forest Classifier) to detect heart attacks/damage without an EKG with 82.5% accuracy. Matplotlib for Data Visualization
In order to design a board game, I created a Monte Carlo Simulation to plot different strategy outcome distributions and get an idea of what kind of parameters would lead to a balanced game.
Using raspberry pi to compute FFT and drive ws2812b LEDs to create Real-Time light show synced to music.