Churn Prediction
Churn modelling across 3, 7, 14 and 30-day horizons, with behavioural signals used to support retention analysis and live campaign workflows.
Professional projects across banking, AI, analytics and business analysis. Confidential data and internal code stay private; the thinking and contribution can still be shown.

Overdraft-account products, requirements, user stories, process flows and collaboration across analysis, solution design and development.

Built an complete probability of default model from real-world banking data and presented methodology, results and business implications to Risk Management professionals.

AI model for reading identity and official-document information, comparing extracted fields with structured records, and detecting inconsistencies or mismatches.

Churn prediction, driver-facing AI work and performance analysis across marketplace, operational and product metrics.

Enterprise banking applications using .NET, Java and COBOL, including core banking and international money-transfer processes.
A recurring part of my work is translating technical or analytical depth into a story that stakeholders can use.
Model presentations · business storytelling · data visualisation · stakeholder communication · technical-to-business translation.
Churn modelling across 3, 7, 14 and 30-day horizons, with behavioural signals used to support retention analysis and live campaign workflows.
AI-assisted reading of identity and official-record information, comparison with structured data, and cross-field consistency checks to surface mismatches.