An end-to-end Machine Learning web application utilizing FastAPI and Streamlit to classify Iris flower species based on physical measurements. Demonstrates a decoupled production architecture separating the core Scikit-Learn training pipeline, a low-latency REST API backend inference layer, and an interactive frontend dashboard user interface.

Data Science project analyzing 2024-2025 NBA stats to predict game performance using Linear Regression & OLS models.

Unsupervised k-Means clustering on Bundesliga 23/24 player data, discovering football positions from raw performance metrics

An analysis of food deserts in the US using data science techniques

A comprehensive collection of machine learning projects demonstrating applications in classification, regression, and clustering across domains like finance, energy, and marketing.

Machine Learning solutions for a fintech. Improving the success rate of term deposits

Workshop de machine learning realizando na Reunião Secional de Ramos do IEEE de 2025 na Universidade Federal de Fortaleza