Conducted a comprehensive analysis of racing related data for a regulator in NSW, focusing on identifying risk indicators and patterns among industry participants.

Established and implemented pre-screening techniques for use across the Australian finance industry, specifically designed to protect personal information from disclosure and prevent individuals from being targeted based on inferred credit demand. These techniques were later incorporated in the APP, becoming a legislated mechanism for safeguarding personal information.

Developed fraud identification techniques for banking institutions, capable of detecting 17% of known fraudulent activity linked to credit product applications – for example credit cards application submitted under fictitious identities.

Assessed customer information for major Australian financial institutions to develop a deeper understanding of individuals’ household product holdings, and their associated values.

Led an analysis of transactional data across multiple organisations to model purchasing behaviour patterns, enabling improved resource management, targeted communication, and enhanced marketing and sales opportunities.

Developed a bespoke funds-flow analytics solution for complex financial misconduct matters, providing investigators with clear visibility of transaction patterns, misconduct red flags and the movement and extraction of funds to support asset tracing, fraud and corruption investigations.