At Grubhub, I standardize error-code taxonomies across engineering squads, build automated funnel-health monitoring for 10+ consumer teams, and investigate promotional gaming to protect marketing ROI.
Previously at Natures Fynd, I reduced R&D cycle time by 80% by architecting an integrated company-wide LIMS with automated data governance. I also built Python and Google Apps Script ETL pipelines for sensor and lab data, led scale-up technology-transfer analysis, and trained 30 JMP users across seven internal teams.
My background combines molecular science, food innovation, and large-scale data systems. At J.R. Simplot, I led pilot-plant statistical design and analysis to support a 300% food-production scale-up, developed image-based QA methods, and evaluated process technologies totaling more than $200,000.
I bring forensic root-cause analysis, value engineering, statistical experimentation, and practical automation to complex product and R&D decisions.
