Patrick Jude

Senior Data Scientist - Machine Learning, Graph Analytics, Applied AI

Melbourne, Australia

I create machine learning tools that find the people and patterns hiding in very large datasets, and help teams put AI to work without breaking things.

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About

Seven years building and deploying machine learning across Australian government and the private sector. Stopping fraud and financial crime, scaled entity resolution, natural language processing, and commercial modelling.

A bias towards the simplest model that actually solves the problem, and leaving teams working even better than when I joined them.

What I work on

Machine learning
Gradient boosting and tree-based models, graph neural networks, autoencoders and anomaly detection, causal inference, propensity and audience modelling
Graph & entity resolution
Identity graphs at 10M+ scale, record linkage, community detection, network analysis
Fraud & financial crime
Organised fraud networks, coordinated abuse rings, transaction-pattern analysis
Applied AI & LLMs
GenAI governance and risk frameworks, self-hosted and API models, harness engineering and plugin design, agentic development, MCPs
Engineering & enablement
Python, SQL (Snowflake and Teradata), dbt, TigerGraph/Neo4j/igraph, AWS & GCP, ModelOps, technical uplift and mentoring across squads

Experience

Wesfarmers (OneDigital)

Senior Data Scientist2024-present

Identity graphs across multiple retail divisions, marketing propensity modelling, and group causal measurement. Set and trained staff on Git and AI-assisted development practices. Mentoring across data science, analytics and engineering.

Australian Taxation Office

Data Scientist → Senior Data Scientist (EL1)2019-2024

Graph analytics against organised fraud, worked within the Serious Financial Crimes Taskforce. Co-chaired the inaugural GenAI secretariat, and led the M365 Copilot early rollout.

Awards

  • ATO Best of the Best (winner) - Integrity (2024)
  • ATO Above and Beyond (winner) - Integrity (2024)
  • ATO Above and Beyond (winner) - Better Together (2023)
  • ATO Above and Beyond (finalist) - Innovation (2023)
  • IntelliHQ Healthcare Datathon (winner) - Victoria (2022)
  • IntelliHQ Healthcare Datathon (2nd place) - National (2022)

Education

  • Master of Data Science (Strategy & Leadership), Distinction - RMIT 2022
  • Graduate Certificate (Advanced), Physics - University of Melbourne 2018
  • Bachelor of Science (Physics) - University of Melbourne 2016