Summary
Alessio Bocco is a sustainability-focused data scientist and agricultural engineer with nine years of experience applying machine learning, GIS, and remote sensing to reduce emissions and improve farm resilience. He has designed large-scale tools—an API assessing emissions over 10 million hectares and an optimization model that cut CO2 by 15% across 20 million hectares—and automated ESG reporting for 300+ farmers while ensuring compliance with ISO and EU regulations. Alessio combines strong statistical and modeling skills (DSSAT, XGBoost, neural nets, copulas) with production-grade data engineering (ETL, SQL, dashboards in Shiny/PowerBI) to turn complex environmental data into operational decisions. He has led drought-monitoring and water-balance projects co-designed with farmers, translating stakeholder engagement into measurable resilience gains. Trained in management & analytics and food technology, he blends domain depth with practical software delivery—an agriculturalist who gardens and cooks, keeping his work grounded in real-world food systems.
9 years of coding experience
5 years of employment as a software developer
Diploma Data science for Economics and Business, Diploma Data science for Economics and Business at Universidad Nacional de Córdoba
Master in Management & Analytics data science; management finance, Master in Management & Analytics data science; management finance at Universidad Torcuato Di Tella
Master Internazionale in Tecnologia degli alimenti Ciencia de los alimentos, Master Internazionale in Tecnologia degli alimenti Ciencia de los alimentos at Università degli Studi di Parma
Postgraduate in Agribusiness , Postgraduate in Agribusiness at University of Buenos Aires
Grado Agronomical engineer , Grado Agronomical engineer at Universidad Nacional de Río Cuarto
English, Spanish, Italian