Production-grade pipelines and lakehouses that turn raw agricultural data into reliable, governed assets.
Analytical models and tools that translate data into structured insight — designed for the decisions operators and leaders actually face.
Decades of experience in the food and ag value chain — from crop production and grain merchandising to facility siting and cooperative finance.
Production-ready USDA data on Azure Databricks — medallion pipeline, AI/BI dashboards, and a natural-language interface for crop production, price, and yield analysis across the U.S. Built for cooperatives and grain merchandisers who need answers, not data requests.
Quantified grain flow to mills and elevators under basis scenarios considering freight cost — not straight-line distances. Gives grain buyers a defensible picture of spatial competition for grain.
Integrated production, transport cost, and competitive location data to support siting decisions for retail ag and processing facilities. Turns a judgment call into a structured analysis.
Principal
Data platform architect with more than 15 years of experience in the food and agriculture value chain — working with cooperatives, grain merchandisers, lenders, and processors on problems that sit at the intersection of data, geography, and operational decision-making.
Spent 3.5 years at Databricks as a Senior Resident Solutions Architect, building and optimizing data and AI systems for enterprise clients. Practice emphasizes lending structure to unstructured decision problems.
Ph.D., Engineering and Public Policy — Carnegie Mellon University
B.S., Computer Engineering / M.S., Systems and Control Engineering — Case Western Reserve University
Senior Scientist
PhD-trained human geneticist and molecular biologist with deep experience in multi-source data analysis and geospatial analytics. Has contributed analytical and geospatial work to Ploughman engagements since 2010 — integrating large, heterogeneous datasets from federal sources including CDC, BLS, Census Bureau, and USDA into decision-support tools for healthcare, agriculture, and commercial clients.
Brings a scientist's discipline for data quality verification and a practitioner's focus on delivering work that drives real decisions. Skilled in Python, pandas, Tableau, and QGIS.
Ph.D., Human Genetics and Molecular Biology — Johns Hopkins University
ScB, Biology / A.B., Computer Science — Brown University