Matteo Felici is a Data Scientist with 11 years of experience who builds end-to-end ML products and data platforms, currently working on gaming data science at Meta. He previously led development of a centralized data warehouse and BI layer at Facile.it, deploying predictive models across marketing and business units using GCP, BigQuery, and Kubeflow. As a consultant he delivered practical ML solutions across banking, insurance, energy and healthcare—ranging from fraud detection to text analytics and energy forecasting—bringing strong statistical rigor and production focus. He blends hands-on Python and scikit-learn expertise with emerging MLOps practices, and has taught applied machine learning in academia, reflecting an ability to explain complex workflows to diverse audiences.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Mathematics, 110/110, Master's degree, Mathematics, 110/110 at Università di Pisa
II Level Master in Customer Experience and Social Media Analytics, Statistics, 110/110, II Level Master in Customer Experience and Social Media Analytics, Statistics, 110/110 at Università di Roma Tor Vergata
Bachelor's degree, Matematica, 102/110, Bachelor's degree, Matematica, 102/110 at Università di Pisa / University of Pisa
Contributions:5 pushes, 1 branch in 2 years 7 months
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