I developed machine learning applications as an intern at Miami Dade College, building linear regression models, visualizations, and automated data extraction workflows to improve predictive analysis.
My projects include OneView, a Python and Tkinter healthcare data visualization system with interactive body regions, risk classification, and medical imaging support. I also built a supermarket simulator that uses K-means clustering and Apriori association rules to analyze purchase patterns.
I’ve developed a stock prediction system using historical Yahoo Finance data, linear regression, and visualizations to compare predicted and historical price trends. I enjoy building modular, user-centered applications that make complex data easier to explore.
