Bayer is a global powerhouse, and in Brazil, its Crop Science division plays a crucial role in the agriculture sector. However, as vast as their operations were, they had a critical gap: real-time, actionable data to inform their strategies. That’s where my collaboration with them began.

I worked closely with Leandro, a results-driven director who valued precision, data, and execution. Together, we built custom software that transformed how Bayer monitored, analyzed, and responded to market movements—leading to smarter decision-making and significant financial impact.

Data Intelligence: From Imports to Agronomic Insights

Our work spanned multiple projects, but the common thread was data-driven intelligence.

• Global Market Tracking: We developed a system that followed public global customs data, identifying when large shipments of agrochemicals arrived from imports. This gave Bayer a competitive edge, allowing them to anticipate price fluctuations based on competitors’ import activities.
• Precision Agriculture: We mapped over 5,550 Brazilian municipalities, correlating satellite imagery, pest outbreaks, and regional climate data to recommend the optimal type and quantity of agricultural chemicals for each area.
• Big Data & Automation: By integrating data science and machine learning, we converted vast datasets into clear, actionable insights—helping Bayer refine its strategies at both macro and micro levels.

I also had the opportunity to mentor two mathematicians from The University of São Paulo (USP), helping them transition from Fortran to Python—a skillset that later propelled them into careers at global corporations like Petrobras and leading European firms.

Our work wasn’t just about software—it was about reshaping how Bayer harnessed data to drive business success.

The Impact

• Built real-time tracking tools to monitor competitors' import activities.
• Mapped every municipality in Brazil, optimizing agricultural decisions.
• Leveraged satellite imagery to refine agronomic recommendations.
• Trained top talent in modern data science tools, expanding their career paths.
• Bridged the gap between raw data and strategic execution, turning ideas into tangible results.

While I was never a formal Bayer employee, my contributions had a lasting impact, turning big data into big wins.