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.
Developed ML models to predict customer acceptance of iFood’s marketing offers.
Developed ML models to recommend crops based on environmental and soil factors.