Summary
Ítalo Cegatta is a forest engineer and data scientist with 10 years of experience applying R-driven analytics to drive field and business decisions at Suzano, where he now leads forest research. He builds end-to-end data systems—web scraping/APIs, SQL storage, automated quality control and gap-filling, and PowerBI dashboards—to turn meteorological, remote sensing and experimental data into actionable productivity insights. His work spans spatialized productivity zoning, standardized experimental metadata, and automated reporting pipelines, blending domain expertise in biometrics and LiDAR with reproducible data engineering. Comfortable translating between researchers and stakeholders, he pairs elegant visualizations with rigorous statistical methods as a mestrando in agronomic statistics. A practical problem-solver, he routinely strings together satellite imagery, site data and models to anticipate yield scenarios across large operational units.
10 years of coding experience
2 years of employment as a software developer
Intercâmbio, Modelagem florestal, Intercâmbio, Modelagem florestal at Instituto Superior de Agronomia
Escola Superior de Agricultura "Luiz de Queiroz"