I built JRAD, a retail business intelligence system that transforms real-world Nigerian superstore observations into a repeatable analytics workflow.
Using Python, SQL, Excel, Power BI, DAX, star-schema modeling, and Deneb/Vega-Lite, I generated and validated 225,000+ receipts, 1.8M+ transaction lines, 525 SKUs, and five simulated branches. I translated this data into executive reporting on revenue, demand, customer value, payment behavior, branch performance, and inventory risk.
I also analyzed loan-campaign and e-commerce data for Thera Bank and Olist, producing customer, retention, churn, sales, and operational insights. My earlier store-management experience gives my analytics work practical grounding in inventory, customer behavior, sales activity, and day-to-day business decisions.
