At Continental Baking Company, I recovered 26% of lapsed customer accounts by building an RFM segmentation and purchase-frequency model in Python and Power BI. I also modeled visit-frequency patterns to recommend route schedules that cut missed service stops by 45%.
I eliminated manual KPI compilation with an automated Python reporting pipeline that queries Power BI semantic models, giving senior leadership near real-time revenue visibility. I’m building a production forecasting package at route × SKU × day grain, with backtesting and bias correction.
Previously, at Optimum Trading Limited, I restructured stock policy with ABC inventory classification and built sales and demand forecasts. At Kingston Wharves Limited, I built an Excel/VBA tool to track vehicle movements and yard capacity. I’m Microsoft PL-300 certified and based in Jamaica, available for remote work.
