AI-powered threat modeling that turns architecture diagrams and business context into actionable threats
Predicting the default customers
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.
Building an PD, LGD and EAD Model for Financial Modeling.
Portfolio of course work for my Master's in Data Science.
Equity research dashboard and Python pipeline: DCF, reverse DCF, comps, factor screening and risk on live SEC and Yahoo Finance data
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
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.
Offline AI dashcam analysis for road perception, risk events, and privacy-first telematics research.
This project analyzes 284,000+ banking transactions to detect suspicious activity using time-series anomaly detection and an Agentic AI investigation workflow.
End-to-end Finance Risk Analytics pipeline | Power Query ETL | DAX | Power BI Dashboard
Time-series regulatory enforcement risk prediction framework using OCC enforcement actions.
📊 Portfolio Analytics Lab: A professional-grade performance and risk engine for JSE equities. Built with Python & 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).
Risk-based SLA compliance and remediation pressure monitoring framework built in Power BI with custom prioritization logic.
Treasury-grade liquidity forecasting and Monte Carlo stress testing engine for scenario-based cash flow risk analysis.
IPS-driven multi-asset allocation, risk analytics, stress testing, rebalancing, and investment committee reporting engine.
Multi-agent AI platform for global equity research, quantitative risk analytics, sentiment modeling, and portfolio intelligence using Gemini 2.0 and Streamlit.
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