Muhammed Adediran

I build systems at the intersection of artificial intelligence, financial modelling, and economic analysis. The work spans FP&A, investment banking analytics, audit forensics, predictive modelling, and AI-powered financial tools, delivered across the UK, Canada, and Nigeria. What distinguishes the work is genuine domain depth: I am finance-native. I do not simply build models for financial problems; I understand what those models are measuring. Cash flows, default risk, market volatility, anomaly patterns in transactions. That combination of quantitative rigour and financial domain knowledge is rare, and it is where I operate.

Currently running four concurrent fronts: Senior Data Associate at Zion Tech Hub, leading data engineering and analytics delivery; Financial and Audit Analyst at Nais Allied, carrying out forensic review, multi-account reconciliation, and financial leak detection; Sole Technical Lead on TPLMS, a Third-Party Line Maintenance System built for the Nigeria Revenue Service through HMB Aviation Services (Next.js 14, TypeScript, Supabase; automates WHT, VAT, CIT, and CET for foreign airline operators; late-stage, approaching NRS handover); and Mentor at DAElite and Inegben Academy, delivering a structured Financial Analytics programme I designed from the ground up.

Prior engagements include Enforca (UK), where I streamlined reporting and built data products; 10Alytics (Canada), working across large datasets and predictive models; Maroof HRF, aligning analytics to live business decisions; and SEAP Microfinance Bank, building data frameworks for growth and reduced default risk. The industries have varied: fintech, e-commerce, health, public finance, aviation. The standard has not.