I built a complete ML pipeline applied to professional WPT (World Padel Tour) match data — from raw data in a MySQL Data Warehouse to a live interactive web application. What the project covers: - Data Preparation — Feature engineering from a star-schema DW (11 tables: players, matches, tournaments, equipment) with full cleaning, encoding, and anti-leakage design - Classification — Predicting match outcomes using Logistic Regression & Random Forest (GridSearchCV + RandomizedSearchCV, Stratified K-Fold, ROC-AUC evaluation) - Regression — Predicting prize money using Ridge Regression & Rand