Matteo Carretta
Data Scientist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMatteo Carretta is an Applied Scientist based in Berlin with 8 years of experience translating machine learning research into production impact across ecommerce and media. At Zalando and Wayfair he built privacy-aware attribution and recommendation systems, led scalable offline evaluation frameworks, and ran A/B tests that served millions of users daily. His work blends rigorous statistical modelling with practical deployment, driving product and KPI changes that improved decision-making and growth investments. Trained in AI and ML at Politecnico di Milano, he pairs academic rigor with hands-on engineering—previous projects include GAN-based shoe generation and factorization models that boosted recommendation MAP. Outside work he’s an avid guitarist and soccer fan, hinting at a creative, team-oriented approach to problem solving.
8 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science and Engineering - Artificial Intelligence and Machine Learning, Master's degree Computer Science and Engineering - Artificial Intelligence and Machine Learning at Politecnico di MilanoBachelor of Engineering Computer, Bachelor of Engineering Computer at Università degli Studi di Parma
Github Skills (7)
matrix-factorization6
recommender6
recommender-system5
python5
machine-learning4
algorithm4
lightfm1
Programming languages (1)
Github contributions (5)
mcarretta/mcarretta
May 2021 - Apr 2025
Contributions:19 pushes, 1 branch in 3 years 11 months
mcarretta/ShoesKerasGAN
Nov 2018 - Jun 2021
Contributions:8 pushes, 1 branch in 2 years 6 months
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