• Scraped 7 seasons of match data (2,600+ games), creating the project’s largest LaLiga dataset.
• Built a Random Forest model with 78% prediction accuracy, a 20% improvement over baseline.
• Developed an interactive Dash app with real-time predictions, attracting 500+ users in the first month.
• Reduced prediction error by 15% through feature engineering and hyperparameter tuning.