Paula Mihalcea is a data scientist with nine years of experience applying statistical and machine learning solutions across energy, manufacturing and HR domains, currently building predictive models for Enel Group. She blends strong academic credentials—Master’s in Computer Engineering summa cum laude—with hands-on cloud and OT migration experience as a solution architect working with Azure and Active Directory. Comfortable managing projects end-to-end, she has delivered production-ready analytics and led cross-functional teams while maintaining a practical maker’s mindset from IoT and embedded internships to model-based design for railway systems. A curious problem-solver and natural bug-hunter, Paula pairs technical rigor with creative instincts—she’s equally drawn to computer vision where AI meets graphic arts—and recharges on motorcycle rides through the Chianti hills.
8 years of coding experience
1 year of employment as a software developer
Bachelor's Degree (laurea triennale), Computer Engineering, Bachelor's Degree (laurea triennale), Computer Engineering at University of Florence
Master's Degree (LM, Laurea Magistrale), Computer Engineering, Summa cum laude, Master's Degree (LM, Laurea Magistrale), Computer Engineering, Summa cum laude at Università degli Studi di Firenze
Secondary School Diploma, Liceo Scientifico (opzione Scienze Applicate), Secondary School Diploma, Liceo Scientifico (opzione Scienze Applicate) at ISIS Bertrand Russell-Isaac Newton
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