Matteo Carretta
Applied Scientist at Zalando
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
3 years of employment as a software developer
Bachelor of Engineering, Computer, Electronics and Telecommunications Engineering, 105, Bachelor of Engineering, Computer, Electronics and Telecommunications Engineering, 105 at Università degli studi di ParmaMaster's degree, Computer Science and Engineering - Artificial Intelligence and Machine Learning, 98/110, Master's degree, Computer Science and Engineering - Artificial Intelligence and Machine Learning, 98/110 at Politecnico di Milano
Github Skills (7)
recommender6
machine-learning4
matrix-factorization4
recommender-system4
python4
hybrid2
lightfm1
Programming languages (1)
Github contributions (5)
mcarretta/mcarretta
May 2021 - Oct 2023
Contributions:17 pushes, 1 branch in 2 years 5 months
mcarretta/ShoesKerasGAN
Nov 2018 - Jun 2021
Contributions:8 pushes, 1 branch in 2 years 6 months
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