Edoardo Albergo has an academic and professional background in statistics and data science. He holds a Master’s degree in Statistics and a post-university Master’s in GIScience. His academic work has focused on developing complex statistical models, particularly for analyzing remote sensing data.

Professionally, Edoardo has solid experience in data analysis and data engineering, specializing in deploying production-level data models and ETL processes to manage large-scale data.

He is currently collaborating with CMCC’s RAAS division as a Risk Analyst.