Alberto Arrigoni is a Global Lead Data Scientist with 13 years of experience building and scaling ML and AI solutions across enterprise domains including insurance, manufacturing, and healthcare. He combines hands-on expertise in productionizing computer vision and time-series systems (from WhatsApp damage assessment to demand forecasting and IoT predictive models) with leadership of multidisciplinary engineering teams. His background bridges bioinformatics research and industry ML, giving him deep statistical rigor—Poisson/Negative Binomial GLMs and survival analysis—from genomics to commercial applications. Comfortable with cloud-scale pipelines (AWS EMR/Glue/Athena, PySpark, Docker, CI) and model-driven productization, he’s led privacy-aware healthcare initiatives and operationalized novel data-privacy systems. Based in Milan, he pairs academic depth (PhD in Bioinformatics) with proven delivery at global companies like EssilorLuxottica, Generali and Pirelli, and a past Fulbright stint that reflects his international, research-to-product trajectory.
12 years of coding experience
7 years of employment as a software developer
Fulbright BEST grant - Executive development center, Business & Management certificate, Fulbright BEST grant - Executive development center, Business & Management certificate at Santa Clara University Leavey School of Business
Master's degree, Bioinformatics, 110 cum laude, Master's degree, Bioinformatics, 110 cum laude at Università degli Studi di Milano-Bicocca
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