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Alessandro Di Stefano has worked as a Data Scientist at Growens since 2021. Prior to that, they worked as a Data analyst at Technology Reply from 2019 to 2021. In this role, they utilized BI SAS tools for ETL processes and data reporting, specifically in UBI Banca. Alessandro also implemented a SAS architecture for data visualization, analysis, processing, and historicization. Alessandro's earlier experience includes working as a Data scientist at STMicroelectronics from 2018 to 2019, where they built an anomaly detection model using machine learning and data mining techniques.

Alessandro Di Stefano obtained a 1st level degree in Computer Science from Università di Catania, attending from 2015 to 2018. Prior to that, they attended ITS "Archimede" Modica from 2010 to 2015, where they obtained a Perito in Amministrazione, Finanza e Marketing degree with a focus on Sistemi Informativi Aziendali. Additionally, Alessandro has various certifications, including "Building Batch Data Pipelines on GCP" and "Google Cloud Platform Big Data and Machine Learning Fundamentals" from Coursera in 2021, "Reinforcement Learning - University of Alberta" from Coursera in 2020, "IBM AI Engineering Professional Certificate" from Coursera in 2020, "The Final Round of EESTech BigData Challenge" from EESTEC LC Novi Sad in 2018, "PET(B1)" from Cambridge Assessment English in 2014, "AWS Certified Cloud Practitioner" from Amazon Web Services (AWS) in 2023, and "ECDL" from AICA - Associazione Italiana per l'Informatica ed il Calcolo Automatico in 2010.