Summary
Daniel Rossi is a data scientist with eight years of hands-on experience at John Deere, progressing from technical support and machine health roles to delivering data-driven solutions for precision agriculture and harvesting machinery. He holds a Computer Science degree, an MEng in Industrial Management, and is completing an MBA in Data Science & Analytics with specialized training in Precision Agriculture at ESALQ/USP. His background blends applied engineering, field-facing technical support, and analytics—giving him a rare end-to-end perspective on agricultural machinery telemetry and customer needs. Fluent in practical problem-solving, he also works as a freelance translator and is actively pursuing fluency in German and Italian, reflecting a broader interest in cross-cultural communication. Based in Rio Grande do Sul, Brazil, he leverages domain expertise to turn complex farm data into operational improvements and product insights.
8 years of coding experience
Master of Business Administration - MBA, Data Science & Analytics, Master of Business Administration - MBA, Data Science & Analytics at MBA USP/Esalq
Master of Engineering - MEng, Engineering/Industrial Management, Master of Engineering - MEng, Engineering/Industrial Management at Universidade Luterana do Brasil
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Regional do Noroeste do Estado do Rio Grande do Sul
Precision Agriculture, Precision Agriculture at Escola Superior de Agricultura Luiz de Queiroz - ESALQ/USP
English, Portuguese, Spanish, German