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

Housing price drivers with OLS + regularization + causal baseline; robust diagnostics. Python, scikit-learn, CI.

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

Reproducible OHLCV pipeline: baselines + SARIMAX/Prophet, uncertainty & drawdowns. Python, statsmodels, CI.

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

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.

Real-return analysis across inflation episodes with bootstrapped CIs and allocation sketches. Python, Pandas, CI.

Studio green-light model: TMDB/OMDb pipeline, classification/quantile, decision rubric. Python, scikit-learn, CI.

Streamlit-based tool for mutual fund analytics with CAGR, Sharpe/Sortino, drawdowns, CAPM, Prophet forecasting, fund scoring, and K-Means clustering for benchmarking.

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

End-to-end volatility and risk analytics system with GARCH models, ML volatility forecasting, VaR backtesting, Basel traffic light, stress testing, and professional dashboard.

Visual AML risk monitoring and investigation system with ML, network analysis, and analyst dashboard

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

Power BI (web) portfolio risk dashboard powered by a reproducible Python pipeline (prices → portfolio → rolling risk metrics → stress scenarios).