risk-analytics

AI-powered threat modeling that turns architecture diagrams and business context into actionable threats

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.

OpenBB extension for Interactive Brokers portfolio, margin, market data, options, and risk analytics.

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

End-to-end Finance Risk Analytics pipeline | Power Query ETL | DAX | Power BI Dashboard

Offline AI dashcam analysis for road perception, risk events, and privacy-first telematics research.

Kinlyze scans your codebase to find out who really holds the knowledge - and what breaks if they leave. Free CLI, offline by default, with a Dashboard for risk heat maps, ownership profiles, and departure simulations.

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

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

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

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

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

Turning regulatory updates into a taxonomy-mapped, prioritised risk tracker (R).

SQL-based risk analytics portfolio: fraud patterns, credit scoring signals, and transaction anomaly detection across fintech datasets

IPS-driven multi-asset allocation, risk analytics, stress testing, rebalancing, and investment committee reporting engine.

Financial fraud detection pipeline using Random Forest and Isolation Forest for transaction risk scoring and anomaly detection

This project analyzes 284,000+ banking transactions to detect suspicious activity using time-series anomaly detection and an Agentic AI investigation workflow.