Andrea Manzini is a data-driven technology leader with 8 years of experience delivering optimization, operational research and machine-learning solutions across energy and automotive domains. As Head of Optimization and Operational Research at Enel, he blends cloud-native smart-charging and gas commodity forecasting expertise with a pragmatic, cost-conscious approach to drive measurable KPIs and stakeholder trust. He began his career in embedded automotive signal processing and ASIL D safety projects at Infineon, bringing low-level rigor and test-automation experience to high-level optimization problems. Andrea is skilled at building and scaling multidisciplinary teams, translating complex dynamics (renewables, tariffs, load constraints) into operational products, and has an academic track record that includes a published ML-based thesis on eFlash yield optimization. Based in Rome, he combines engineering discipline with strong teaching experience, often turning research-grade methods into production-ready, impact-focused solutions.
8 years of coding experience
6 years of employment as a software developer
Exchange Semester, Electronic Engineering, Exchange Semester, Electronic Engineering at Ecole polytechnique fédérale de Lausanne
Master's degree, Android Basics Nanodegree by Google, Master's degree, Android Basics Nanodegree by Google at Udacity
Master Degree (Laurea Magistrale), Electronic Engineering, 110 with honors, Master Degree (Laurea Magistrale), Electronic Engineering, 110 with honors at Sapienza Università di Roma
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Andrea Manzini - Head Of Optimization And Operational Research