Pietro Paolo Melella
QuantumGhost98
Data Scientist | Sports Analytics & ML Engineering | Amsterdam
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Analyzing Formula 1 data using the FastF1 library. This project explores race telemetry, driver performance, and strategic insights through data visualization and analysis.
Welcome to my Machine Learning repository! Here, you’ll find a collection of ML projects that I developed during my master’s program, showcasing my work and growth in the field. Each project highlights different techniques, models, and applications I’ve explored on my journey to deepen my understanding of machine learning
🏦 Customer churn prediction pipeline with EDA, feature engineering & model evaluation
💰 Pricing optimization with XGBoost — predicting optimal markup on 12.8K orders
🏷️ ML product classification API — scikit-learn, PyTorch & FastAPI with Docker
⚽ Belgian Jupiler Pro League 2021/22 analysis — custom midfielder metrics using 1.1M+ StatsBomb events
Repositories
6Analyzing Formula 1 data using the FastF1 library. This project explores race telemetry, driver performance, and strategic insights through data visualization and analysis.
Welcome to my Machine Learning repository! Here, you’ll find a collection of ML projects that I developed during my master’s program, showcasing my work and growth in the field. Each project highlights different techniques, models, and applications I’ve explored on my journey to deepen my understanding of machine learning
🏦 Customer churn prediction pipeline with EDA, feature engineering & model evaluation
💰 Pricing optimization with XGBoost — predicting optimal markup on 12.8K orders
🏷️ ML product classification API — scikit-learn, PyTorch & FastAPI with Docker
⚽ Belgian Jupiler Pro League 2021/22 analysis — custom midfielder metrics using 1.1M+ StatsBomb events