Summary
Mattia Di Fatta is a Senior Data Scientist with nine years of engineering experience and a strong track record applying deep learning in production at Amazon and Beckman Coulter Life Sciences. He specializes in practical ML solutions that reduce business errors—at Amazon he improved recommendation and classification systems, cutting prediction and error rates by hundreds of basis points through novel use of behavioral data and adaptive thresholds. His background blends academic rigour (MS at UIC, top honors from Politecnico di Milano) with hands-on applied research in computer vision and surgical video safety. Comfortable taking models from research to daily operational use, he focuses on solutions that both improve customer experience and lower labeling or remediation costs. Based in Edinburgh, he enjoys collaborating cross-functionally to discover new opportunities and deliver measurable impact. An engineer who moves beyond prototypes, he emphasizes maintainable, data-driven systems that adapt to changing real-world signals.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois at Chicago
Laurea Magistrale LM (Master), Computer Engineering, 110 cum laude, Laurea Magistrale LM (Master), Computer Engineering, 110 cum laude at Politecnico di Milano
English, Italian, French