AI-powered threat modeling that turns architecture diagrams into actionable risks

P.I.R.E is a full-stack inventory management solution designed to minimize waste in retail environments by tracking product life cycles in real-time. Built with a Node.js/Express backend and a React frontend, the system doesn't just store data—it analyzes it.

Predicting the default customers

Building an PD, LGD and EAD Model for Financial Modeling.

Portfolio of course work for my Master's in Data Science.

To provide complete workflow from Inferential Analytics, Predictive Analytics, Prescriptive Analytics and Evaluate the performance of prescriptions

Build a predictive model to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

📊 Portfolio Analytics Lab: A professional-grade performance and risk engine for JSE equities. Built with Python & Streamlit.

Risk-based SLA compliance and remediation pressure monitoring framework built in Power BI with custom prioritization logic.

Time-series regulatory enforcement risk prediction framework using OCC enforcement actions.

Multi-agent AI platform for global equity research, quantitative risk analytics, sentiment modeling, and portfolio intelligence using Gemini 2.0 and Streamlit.

Machine Learning Project to understand the lifecycle metrics of a loan in order to minimize delinquent loans

An always-on, autonomous agentic risk platform demonstrating event-driven AI agents on Azure for continuous FX and interest rate contract risk monitoring.

Explainable, Excel-to-Python risk scoring model for compliance prioritization

End-to-end credit default risk prediction system with Explainable AI (SHAP), Flask web app, animated risk gauge, batch prediction, and admin dashboard UI.

Python-based enterprise risk intelligence engine for log analysis, anomaly detection, KRI-driven scoring, and automated narrative risk reporting. Designed for SMEs, cybersecurity teams, and governance functions. Built as applied AI technical evidence for the UK Global Talent route. Led by Ibrahim Akinyera.

Streamlit legal ops automation: ETL + KPI dashboard (matters, utilization, AR aging, deadlines). Python, Pandas, SQL, CI.

six-projects-revamped-cloud-buttons

Treasury-grade liquidity forecasting and Monte Carlo stress testing engine for scenario-based cash flow risk analysis.

Interactive fraud analytics dashboard built using Power BI, Power Query, and DAX to analyze 2,133 payment transactions.