Machine Learning Engineer
Built a financial chatbot using cleaned public company filing data to turn complex financial reports into simple business insights across revenue, net income, assets, liabilities, and cash flow.
Developed retail customer behaviour models and Python pipelines for segmentation, targeting, and commercial recommendations, improving targeting accuracy by 15-20% and reducing manual analysis time by 30%+.
Developed banking ML models for customer behaviour, risk detection, and transaction anomaly analysis, improving model precision by up to 18% and reducing reporting preparation time by 20%.
