Projects

• Olist: an End-to-End Brazilian E-Commerce Case Study

  A real data science case study on the Brazilian marketplace Olist. From raw CSV to trained model, covering EDA, feature engineering, training four different models, and interpretability.

• Intrusion Detection: Hunting Attacks in 2.5 Million Network Sessions

  My final project for the Pattern Recognition course: a network traffic classifier trained on UNSW-NB15, from the raw CSV (2.5 million sessions) to a Random Forest hitting 98.3% AUC on the official test set.