Data Engineering Consultant

Designed, developed, and deployed proof-of-concept machine learning applications using React/Bootstrap/Kubernetes to drive scientists to try new methods of data analysis, visualization, and decision making. Constructed data-driven models to provide human-in-the-loop decision making withinearly R&D evaluation stages of a billion-dollar plant breeding research organizationCo-author on one of the largest plant breeding experiments ever constructed - contributed statistical analysis of multi-year multi-environment multi-location trial. (Not yet published)Led initiative for portfolio-optimization based model to inform customers what products to purchase to minimize their own agricultural risk. Leveraged third-party and company-internal datasets to simulate real-world outcomes, then simulate distributions of those outcomes to quantify an inherit risk-reward tradeoff.Organizing chair of "Data Science Technology Advocacy" group - sharing best practices for technology adoption and transfer to production across internal company systems.Lead subject matter expert consulting with newly-formed company data engineering teamFunctioned as germplasm portfolio manager for Southern US corn breeding team

Functioned as Data Engineer for analytics team - tested and deployed cloud-based microservice providing recommendations for chemical applications to farmer's fields in a hybrid on-demand and batch processing system.Transformed >10TB of geospatial data into a normalized, QC'd file-based index formatted for Map-Reduce operations.

Developed desktop software applications (C#/WPF) to support quality control, scientific review, and decision making based on visualizations of data produced by high-throughput genotyping laboratories for multiple crop species.