Harry Ngo is a Senior Data Scientist based in Sydney with seven years’ experience specialising in fraud analytics and production ML at the Australian Taxation Office, where he leads the Digital Identity System Fraud Analytics team. He combines applied statistics (BSc UNSW) and advanced machine learning (MDataSc, USYD) with hands-on cloud engineering, automating ETL and deployments across AWS services like SageMaker, Glue and Athena. Known for turning complex tax and identity datasets into operational risk models and BI dashboards, he bridges investigative domain knowledge and scalable ML pipelines. He also mentors junior staff and contributes occasional technical pieces to Towards Data Science, reflecting a pragmatic focus on reproducible, team-scaled solutions. An understated strength is his experience moving models from prototype to governed production in a high-stakes public sector setting.
6 years of coding experience
5 years of employment as a software developer
The University of Sydney
E-learning Data Science Statistics & Machine Learning, E-learning Data Science Statistics & Machine Learning at DataCamp
Higher School Certificate (HSC), Higher School Certificate (HSC) at Macquarie Fields High School
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