PROJECTS
Real systems built around real decisions.
Selected work across forecasting, optimisation, risk, analytics and quantitative systems. Client-sensitive information is anonymised where required.
Banking Risk Decision System
An analytical decision system for consumer credit risk evaluation, designed to improve decision consistency, reduce manual review workload and strengthen fraud detection through structured scoring models and automated decision logic.
Decision consistency
+91%
Manual review workload
−65%
Decision cycle time
−80%
Early warning coverage
100%
Demand Forecasting & Inventory Planning System
A multi-horizon demand forecasting system covering 30, 90, 180 and 270-day planning windows, built to improve inventory decisions, reduce stock-outs and support purchasing and working capital planning at scale.
Planning horizon
270 days
Stock-out frequency
−38%
Inventory carrying costs
−24%
Purchasing cycle
×4 extended
Investment Analytics & Performance Management Platform
A centralised analytics platform for tracking client relationships, investment performance, provider activity and portfolio profitability — designed to give leadership a consistent, real-time view of business performance across all dimensions.
Reporting time
−95%
Systems unified
7 → 1
Manual workload
−85%
Audit coverage
100%
Quantitative Multi-Strategy Trading Framework
A unified quantitative framework combining classical strategy design, machine learning, deep learning and reinforcement learning under a single architecture — with integrated portfolio optimisation, real-time signal processing and automated execution logic.
Annualised return (testing period)
~35%
Strategy types integrated
4 (classical, ML, deep learning, reinforcement learning)
Portfolio optimisation
Integrated across all strategy types
Execution
Fully automated with risk control layer