About Me
From mathematics to data science
My Journey
With a Bachelor of Mathematics (Statistics major, GPA 6.6/7) and currently pursuing a Master of Data Science at University of Queensland, I've built a strong foundation in statistical modelling, machine learning, and computational mathematics.
Currently a Specialist Data Scientist at BHP, I support the Value Engineering team in assessing asset performance across mining operations. My work spans hypothesis testing, simulation validation, and data-driven identification of production uplift opportunities — combining rigorous statistical methods with agile delivery practices.
What I Do
- ▹Build predictive models using ensemble methods and deep learning
- ▹Develop geospatial analytics and location intelligence solutions
- ▹Design data pipelines and visualisation dashboards
- ▹Use statistical analysis to validate and explain model outputs
Experience
My professional journey
Specialist Data Scientist (Contractor)
BHP
Aug 2026 - Present • Brisbane, Australia
- •Support the Value Engineering team in assessing asset performance across Copper South Australia (CuSA) production operations
- •Identify and close performance gaps through data-driven analysis of production processes
- •Apply hypothesis testing on key operational strategies to identify key performance drivers (KPDs) influencing production performance
- •Collaborate with the System Dynamics team, Product Owners, and Scrum Masters to test simulation hypotheses and validate modelling assumptions within an agile delivery framework
- •Contribute to shared code repositories across multiple projects within the same asset-focused portfolio
Data Scientist
Sedgwick
Sep 2024 - Aug 2026 • Brisbane, Australia
- •Led design and delivery of a production ML system for catastrophe claims forecasting, shifting operations from reactive to proactive day-one visibility of claim volumes during live events
- •Applied a combination of machine learning and actuarial methods to significantly improve early forecasting accuracy across multiple catastrophe types
- •Developed automated geographic detection of catastrophe-affected areas using weather data, achieving 95%+ recall
- •Built and maintained dashboards and reporting for internal and client-facing use during live catastrophe events
- •Presented system architecture, validation approach, and business impact to CEO and COO on delivery
- •Provided technical guidance and mentorship to junior data scientists and analysts
Pricing Analyst - Motor Insurance
Auto & General Insurance
Nov 2021 - Sep 2024 • Brisbane, Australia
- •Developed and maintained GLMs for motor insurance pricing with geospatial variables and driving behaviour metrics
- •Performed exploratory data analysis using LightGBM and SHAP values to inform feature engineering
- •Designed and analysed A/B tests measuring impact on conversion rates and portfolio profitability
- •Built automated data pipelines using Python and SQL for large-scale insurance data processing
- •Conducted rate change analysis and financial forecasting, presenting recommendations to senior leadership
Skills
Technologies I specialise in
Programming Languages
Machine Learning & Data Science
Cloud & Data Platforms
Business Intelligence & Visualisation
AI Tools & NLP
Projects
Things I've built
Portfolio Website
Modern, responsive portfolio website built with Next.js 14, TypeScript, and Tailwind CSS. Features dark mode, smooth animations with Framer Motion, and glassmorphism UI elements.
🚧Data Quality & Model Monitoring Tool
Assessing dataset modelability and detecting model drift. Features leakage detection, impact estimation, and LLM-powered diagnostics.
🚧More Projects
Additional data science and machine learning projects currently in development. Check back soon for updates.
Let's Connect
I'm open to new opportunities and collaborations