Career Summary
Over 8+ years, I’ve been on a relentless mission to make data useful — spanning academia, public health, and the private sector. My journey has taken me from modelling disease dynamics in R to orchestrating cloud-scale pipelines in Snowflake and Microsoft Fabric. I’m equally at home wrangling messy surveillance datasets and shipping polished Power BI dashboards to executive stakeholders. Armed with a PhD in Epidemiology & Biostatistics, I bring rigors to every analysis and a genuine obsession with turning raw numbers into decisions that matter.
2025 - Present
HBF Health, Data Analytics and Insight Team
Senior Data Analyst
Stack: Snowflake · Python · SQL · Tableau · Streamlit · Atlassian
Key responsibilities:
Design and ship end-to-end dashboards that translate complex insurance claims data into clear, actionable narratives for business stakeholders
Interrogate high-dimensional cloud datasets to surface patterns in high-claim episodes and health conditions
Engage cross-functional stakeholders to align data products with real decision-making needs
Build interactive Streamlit apps to democratize data access across the organization
2024 - 2025
WA Department of Health, Healthcare Quality Intelligence Unit
Senior Data Scientist
Stack: Power BI · SQL Server · Snowflake · R · Power Query
Key responsibilities:
Architected and deployed Power BI dashboards and data models that drove quality intelligence decisions across WA Health services
Built and maintained ETL pipelines using SQL and Power Query, ensuring clean, reliable data flowing from source to insight
Led end-to-end project delivery from requirements gathering through to stakeholder sign-off
Translated complex healthcare metrics into visual stories that non-technical audiences could act on instantly
2021 - 2023
Child Health Analytics Team, Telethon Kids Institute
Researcher & Geospatial Analyst
Stack: R · Python · ArcGIS · QGIS · Excel
Key responsibilities:
Managed and validated high-resolution raster outputs for insecticide-treated net (ITN) models — because bad input data means bad decisions in the field.
Acquired, cleaned, and geolocated malaria surveillance datasets and shapefiles, building a pipeline from raw coordinates to analysis-ready layers.
Led sub-national geostatistical modeling of malaria endemicity using Bayesian statistics, producing maps that informed elimination strategies.
Lead-authored two manuscripts for high-impact journal submission.
Co-developed a spatial analysis training manual in R and QGIS, delivering two rounds of hands-on training in Ethiopia.
Secured a $15,000 AUD seed grant to build a web-based interactive decision-support tool for malaria elimination in Vietnam.
2020 - 2021
Population Child Health Research Group, UNSW Sydney
Child Health Biostatistician
Stack: R · MySQL
Key responsibilities:
Ran quantitative analyses on linked administrative datasets covering children in out-of-home care — turning sensitive, complex records into rigorous, policy-relevant insights.
Delivered statistical and research design support across the group, from choosing the right model to interpreting results for non-statistician collaborators.
Contributed to competitive grant applications, owning study design, sample size calculations, and analytical strategy.
Authored three manuscripts, leading or co-leading two submissions to peer-reviewed journals.
2019 - 2020
Metro North Public Health Unit, Queensland Health
Epidemiologist
Stack: R · PostgreSQL · QGIS
Key responsibilities:
Delivered statistical analysis and epidemiological expertise to population health research, programs, and community health planning — bridging the gap between raw surveillance data and public health action.
Extracted, analyzed, and reported on data from routine disease surveillance databases, turning continuous data streams into timely, decision-ready reports.
Led monitoring and surveillance of forborne outbreaks, applying rigorous epidemiological methods from data collection through to actionable findings.
Mentored and supervised undergraduate and postgraduate students in research methods, building the next generation of data-literate health scientists.
2016 - 2020
The University of Queensland, Brisbane, AU
PhD Candidate — Epidemiology & Biostatistics
Stack: R · ArcGIS · WinBUGS · Scientific writing
Key activities:
Deployed a full arsenal of statistical methods — population-attributable risks, Poisson and Binomial regression, Bayesian inference, and geostatistical models — to crack complex public health questions.
Produced multiple high-resolution geospatial maps by fusing surveillance data with environmental datasets, pushing the boundary of what spatial analytics could reveal.
Partnered with WHO-linked senior researchers on two systematic reviews to update Adolescent Latent TB Infection Treatment guidelines.
Published five first-author journal papers and co-authored four additional articles — building a track record of rigorous, reproducible research.
2013 - 2016
Institute of Public Health, The University of Gondar
Lecturer
Stack: R · SPSS · Scientific writing
Key responsibilities:
Taught Biostatistics to undergraduate and postgraduate students across medicine and health sciences — sparking a love of data-driven thinking in the next generation of public health professionals.
Supervised student research projects, guiding them from research question to robust analysis and publication-ready findings.
Led fieldwork students through community professional practice, turning classroom theory into real-world impact.