Context
At Bayer, I joined the North America Field Testing and Pipeline Delivery team to support equipment operations and field analytics across corn and soybean operations.
My work focused on improving visibility into equipment performance, maintenance needs, and asset utilization across field operations.
What I Built
I built SupportSync, a centralized Power BI dashboard integrating 5+ GB of inventory, maintenance, and equipment performance data across three operational teams. The dashboard helped leadership identify equipment retirement opportunities, reduce unnecessary maintenance spend, and make decisions from a single source of truth instead of disconnected spreadsheets.
I also defined KPIs and success metrics for 10+ planters and combines, enabling field testers and onsite engineers to make maintenance and inventory decisions without spending 5+ hours each week on manual tracking.
Separately, as part of the Engineering and Data Science organization, I evaluated whether UAV drone data could serve as a cost-effective proxy for in-ground soil moisture sensors. I conducted EDA and feature analysis comparing measurement accuracy and deployment cost to help inform asset procurement decisions for the upcoming field season.
Challenges
The main challenge was working with fragmented operational data spread across disconnected spreadsheets, maintenance records, inventory data, and equipment performance sources. The work required turning inconsistent data into reliable metrics that could support field teams, engineering teams, and leadership.
A second challenge was making the output usable for different stakeholders. Field teams needed practical maintenance and inventory views, while leadership needed summarized trends for planning and equipment retirement decisions.
Impact & Takeaways
SupportSync improved decision visibility across equipment operations and helped reduce unnecessary maintenance spend by $200K. The KPI framework eliminated 5+ hours of weekly manual tracking for field testers and onsite engineers, while the soil moisture analysis informed asset procurement decisions for the upcoming field season.
This experience taught me how to turn fragmented operational data into decision-support tools that improve planning, reduce manual effort, and support leadership decisions.