Summary
Fabio Veronesi is an experienced data scientist and product-focused technical commercial manager with 11 years of applied expertise in inferential statistics, spatio-temporal analysis, GIS, and machine learning, primarily in the water, geology, and renewable energy domains. He is an expert R developer and advanced Python user who builds production-ready Shiny BI dashboards and crafts bespoke models that translate complex environmental data into actionable, client-focused insights. Fabio has moved between research and industry—holding postdoctoral roles at ETH and academic positions—before leading data science teams and consulting for organizations like Rezatec, WRc, and Vuzo. Now based in Emilia-Romagna, Italy, he combines deep domain knowledge in soil science and cartography with commercial product responsibilities, bridging technical delivery and client-facing strategy. An author of two Packt Publishing R courses, he brings a rare mix of pedagogical clarity and hands-on engineering that accelerates adoption of analytic solutions.
11 years of coding experience
11 years of employment as a software developer
Liceo Scientifico
Geology/Earth Science General, Geology/Earth Science General at Università degli Studi di Ferrara
Doctor of Philosophy (Ph.D.) Soil Sciences, Doctor of Philosophy (Ph.D.) Soil Sciences at Cranfield University
English, Italian, r