About Me
I hold a Master's degree in Mathematics with a specialization in Functional Analysis and Operator Theory. Currently working as a Data Scientist, combining rigorous mathematical theory with practical data-driven solutions.
This portfolio showcases my featured projects and explores the intersection of mathematics, data science, and programming. I’m passionate about solving complex problems with principled modeling and modern machine learning techniques.
Skills & Expertise
Programming
Data Science
Mathematics
Featured Projects
Problem → Approach → Result
Churn Prediction for Education Payments
Problem: estimate likelihood of payment after collection actions.
Approach: action-level dataset, temporal features, Logistic Regression → XGBoost, temporal validation, SHAP explainability.
Result: AUC 0.81 Recall@Top 0.72 ~12% expected cost reduction.
Rental Price Prediction — São Paulo
Problem: rental price estimation in São Paulo.
Approach: log-transform (log_rent), VIF, model assumptions validation; linear + tree models.
Result: R² 0.85 RMSE ≈ R$120 (~3% of price).
Wine Quality Classification
Problem: quality classification from physicochemical features.
Approach: pipelines with cross-validation, hyperparameter tuning, class-level metrics, SHAP; MLflow tracking.
Result: F1-macro 0.71 full reproducibility with MLflow.
Learning & Certifications
Languages
English: Advanced
Portuguese: Native
Certifications
Google Data Analytics
AWS Cloud Practitioner
Currently Studying
Hands-On Machine Learning (Aurélien Géron)
An Introduction to Statistical Learning (ISLR/ISLP)
Contact
Reach out for collaborations, opportunities, or questions.