Data that leads to decisions.
I am a data professional based in Melbourne, with a background in actuarial studies and finance. I work where data meets product: designing metrics, running experiments, building models and checking that AI systems do what they promise.
My path runs from AI-powered design, through loyalty and global vehicle engineering, back to live sport. Each role taught me the same lesson. Good data work starts with how people actually behave, and ends with a decision someone can make.
I use AI tools every day, and I hold their output to the same standard as my own: it must agree with the data.
Skills
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AI models and agents
- Claude Code
- Cursor
- GitHub Copilot
- Glean
- MCP agents and servers
- LLM-as-judge evaluation
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Statistics and experimentation
- A/B and multivariate testing
- Causal inference
- Power analysis
- Survival analysis
- Clustering
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Machine learning
- Gradient boosting
- Random forests
- Logistic regression
- Feature engineering
- Cross-validation
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Data platform
- Snowflake
- dbt
- SQL
- git and PR review
- Semantic layers
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Analytics and BI
- Omni
- Looker
- Power BI
- Amplitude
- Adobe Analytics
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Programming and cloud
- Python
- pandas and scikit-learn
- JavaScript
- AWS EventBridge
- AWS Kinesis