Dylan Beaumont

I’m a data and reporting specialist with five years of hands-on experience capturing, cleaning, and reporting complex datasets, then translating raw information into decisions that improve commercial outcomes. I’m comfortable across structured and unstructured data, with a track record of building reporting systems and templates from scratch in fast-moving operational contexts—especially across quality control, trial execution, and postharvest environments in fresh produce.

Through independent QC, data & trial consulting practice and client-facing reporting, I design QC data templates and trial protocols, manage multi-variable datasets (firmness, weight loss, disorder tracking, shelf-life outcomes), and interpret real-time postharvest monitoring data such as respiration rates and O2/CO2 levels. I also strengthen forecasting and commercial planning via crop estimates and analysis, while expanding into applied data analysis and AI tooling (Python for Data Science, Google AI Essentials, AI for Data Analysis) to turn measurement into actionable insight.