Data Wizard - Enel Grids And EGP&TGX Data Inelligence
Italy
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Alessandro Perina is a Data/Decision Scientist with a PhD in Machine Learning and over a decade of experience translating research-grade models into business impact across Enel and Microsoft. At Enel he has architected enterprise-scale forecasting and risk systems— from a three-year horizon energy demand model to a global weather outage prediction and a causal econometrics framework that isolates weather effects from grid quality. His background blends top-tier research (Microsoft Research, IIT) with applied ML at scale, including telemetry, NLP and weak-signal analysis for grids. He favors simple, pragmatic solutions where business value drives technical choices, and has a track record of turning complex domain logic into operational models used by hundreds of managers worldwide. Notably, his research on latent-variable models and counting grids informed practical visualizations and patents that bridge interpretability and usability. Based in Italy, he combines academic rigor with hands-on production delivery in energy and cloud domains.
11 years of coding experience
9 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at Università degli Studi di Verona
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Alessandro Perina - Data Wizard - Enel Grids And EGP&TGX Data Inelligence