Diego Gris is a Senior Data Scientist II at McKinsey’s ACRE team in Denver, combining nine years of applied data science, remote sensing and agronomy to deliver advanced analytics for agriculture. He builds end-to-end geospatial and computer vision solutions—regularly moving from drone and satellite imagery to production models that predict yield, maturity and other key traits. His background spans academic research and teaching at North Dakota State University and international R&D at Embrapa, giving him strong domain knowledge in crop science and precision agriculture workflows. Diego is hands-on with tooling from Pix4D and Python/R to cloud-scale data engineering, and he focuses on automations that save clients time and money. An uncommon strength is his ability to bridge field operations (flying UAVs, soil sampling) with production ML systems, ensuring models are grounded in real-world agronomic practice.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Agronomy, Bachelor's degree, Agronomy at Universidade Federal de Santa Maria
Exchange Student, Agricultural Science, Exchange Student, Agricultural Science at Cornell University
Agronomy, Agronomy at Universidade Federal do Paraná
Master of Science - MS, Agricultural and Biosystems Engineering, Master of Science - MS, Agricultural and Biosystems Engineering at North Dakota State University
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