Matteo Facchetti is a Senior Data Scientist based in Luxembourg with seven years of experience building machine learning and optimization solutions that scale in complex, low-data environments. At Amazon he engineered Bayesian prediction models that halved forecasting errors and helped deploy ML/optimization tools adopted across multiple orgs, contributing to over $250M in cost savings. He blends strong academic training from Università Bocconi and a 4.0 exchange at University of Wisconsin–Madison with hands-on delivery—automating long-term planning workflows, dashboards, and databases to improve decision-making. Now at Goodnotes, he continues to translate rigorous statistical thinking into practical products, and he’s comfortable presenting technical ideas to large, non-technical audiences. A subtle strength is his focus on turning “heaps of data” into scientific, decision-ready systems rather than mere analytics.
7 years of coding experience
6 years of employment as a software developer
Economics, Exchange Student, GPA: 4.0/4.0, Economics, Exchange Student, GPA: 4.0/4.0 at University of Wisconsin-Madison
High School Diploma in Classical Studies, Final Grade: 85/100, High School Diploma in Classical Studies, Final Grade: 85/100 at Centro Salesiano Don Bosco Treviglio
Master of Science - MSc in Data Science and Business Analytics, Final Grade: 107/110, Master of Science - MSc in Data Science and Business Analytics, Final Grade: 107/110 at Università Bocconi
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