Machine Learning & AI


This is where the magic (and the models) happen! On this page, you’ll dive into projects powered by machine learning, predictive analytics, and statistical modeling using tools like scikit-learn, XGBoost, R, and MLflow. These projects tackle real-world problems — whether it's predicting customer behavior or optimizing decision-making. You’ll notice some have interactive components, while others include visual previews to help you imagine the final product. Feel free to hover over the cards for quick actions, and explore the code behind the scenes on GitHub.

iFood Marketing

Developed ML models to predict customer acceptance of iFood’s marketing offers.

Crop Recommendation

Developed ML models to recommend crops based on environmental and soil factors.