Current Affiliation:
I’m a Senior Data Analyst at HBF HEALTH, Perth Australia — where every day is a deep dive into complex insurance claims data, pipelines, and cloud-powered analytics. My playground is a cloud-based environment where I interrogate messy, high-dimensional datasets to surface the signals that actually matter. Whether it’s tracking high-claim episodes, spotting health condition patterns, or building interactive dashboards that transform numbers into narratives, I live at the intersection of data and decision-making.
Education:
My analytical foundation was forged through a PhD at the University of Queensland, where I obsessed over mathematical modelling, statistical analysis, spatial modelling, and data visualization — all applied to real-world public health challenges. A PhD isn’t just a degree; it’s years of asking hard questions of data and refusing to accept easy answers.
It was also where I caught the coding bug. I started with R, fell in love with the language and its incredible open-source community, and never looked back. That community spirit of sharing knowledge, packages, and solutions is something I carry into everything I do.
Work Experience:
With over 8 years of turning raw, messy data into actionable intelligence, I’ve worked across academia, public health, and the private sector — each role sharpening my instinct for finding the story inside the numbers. My stack spans Microsoft Fabric, SQL Server, Snowflake, R, and Python, and I’m equally comfortable wrangling billions of rows in a data warehouse as I am crafting a polished visualisation that clicks instantly with a non-technical audience.
From building predictive models that flag at-risk populations to designing dashboards that steer executive decisions, my work is driven by one belief: data should do something. It should improve lives, sharpen strategies, and answer the questions that keep people up at night.
Skills:
My toolkit is built for the full data lifecycle — from ingestion to insight. I work fluently in R, Python, and SQL for analysis, modelling, and automation; Power BI and Tableau for visualisation and storytelling; and Microsoft Fabric, Snowflake, and SQL Server for scalable cloud data engineering. I’m always levelling up, because in the data world, the best tool is the one you haven’t learned yet.