Summary
Lorenzo Vitali is a data scientist based in Milan with 9 years of experience building and productionising data products that drive measurable business impact. He combines strong hands-on skills in Python, SQL, Spark and cloud platforms (GCP/AWS) with practical MLOps experience using Vertex AI, BigQuery and MLflow to deliver end-to-end solutions from feature engineering to deployment. Lorenzo has led stakeholder-driven projects and sprint planning at DAZN and now focuses on anti-fraud and experimentation workflows at Mollie, frequently turning forecasting and automation opportunities into time- and cost-savings. His background spans big-data engineering, streaming and containerized systems, giving him a pragmatic edge when architecting scalable pipelines. He pairs technical depth in tree-based models, GLMs/GAMs and clustering with clear communication and product ownership across cross-functional teams.
8 years of coding experience
5 years of employment as a software developer
Thesis project Computer Science, Thesis project Computer Science at Kingston University
Master of Science - MS Artificial Intelligence and Robotics, Master of Science - MS Artificial Intelligence and Robotics at Sapienza Università di Roma
UPC Universitat Politècnica de Catalunya
Spanish, English, Italian, French