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Leonardo Di Gangi is a data scientist currently employed at OROBIX since October 2022, specializing in time series analysis for manufacturing and agritech projects. Previously, Leonardo was a PostDoc Research Fellow at the University of Florence from December 2017 to October 2022, contributing to the AIMS project focused on optimizing shift management in the aviation industry, and has also held the role of Research Fellow within the LINFA project, where predictive modeling was developed for the Tuscan health system. Leonardo's educational background includes a PhD in Smart Computing from the University of Florence, obtained in October 2021, and a Master's degree in Statistical, Actuarial, and Financial Sciences from the same institution. Additional experience includes roles as an R developer at IT Partner Italia, focused on credit risk score modeling, and an internship at Intuendi srl, where predictive modeling and benchmarking were conducted.