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Designed and built the data models, AI & Machine Learning models, recommendation engines, etc., that analysed over 18 million transactions, identifying 1,500+ mule accounts and preventing 1,000+ fraudulent takeovers and provided recommendations of any new fraud scenarios.
Acted as a strategic partner in the threat intelligence team in mitigating threats, identifying fraud patterns and addressed fraud and financial crime challenges through AI & ML solutions.
Collaborated in building a data hub for centralised storage and access to implement intuitive dashboards, automating data reconciliation and security breach workflow and handling data migration seamlessly.
100% onboarding of all source systems to DataHub, automated the detection and flagging of reconciliation issues and security breaches and developed 35+ dashboards, automating the generation of detailed reports.
Automated end-to-end processes in internal auditing and implemented a continuous monitoring system to identify compliance breaches, fraudulent activities and operational inefficiencies and generate reports in real-time.
Automated 55+ banking-focused risk compliance control scenarios, managed 600K+ transactions per month on a live basis and enhanced regulatory compliance to more than 90%.
Utilised AI and ML solutions to improve business performance and profitability gaining a $5M+ increase in additional annual revenue, efficiently handling 80M+ transactions monthly, and improving merchant retention.
Acted as a strategic solutions provider; improved data monetisation capabilities, led to a substantial revenue increase, and reduced customer acquisition costs and merchant stickiness through AI and ML solutions.
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