Procurement Specialist on World Bank-assisted projects, building data & AI automation on the side. 4+ years managing procurement portfolios worth ₦150B+ across road construction, agriculture, and water resources projects in Nigeria — applying that domain depth to Excel, SQL, Power BI, and Claude-powered Python automation. MSc Computer Science, Veritas University.
Every project below is built around the same sample procurement scenario — multi-state World Bank-assisted programs modeled on ACRESAL, RAAMP, and TRIMING, the projects I've worked on professionally — so the Excel, SQL, Power BI, and Python/AI pieces tell one consistent story rather than ten disconnected exercises. The QCBS bid-evaluation logic built in Excel reappears in the SQL database, the Python bid evaluator, and the invoice extraction pipeline; the same vendors and purchase orders flow through every layer. All data is 100% synthetic, generated for demonstration — no real vendor, contract, or financial information is used anywhere in this portfolio.