Greater Melbourne Area
Data Scientist with a Master’s in Data Science and more than five years of experience delivering predictive modelling, forecasting, and advanced analytics. Skilled across R, Python, SQL, and modern BI tools, with a track record of presenting impactful work at national conferences. Curious by nature, rigorous by training, and driven to deliver insights that shape outcomes
• Spearheading LGA-level predictive models to forecast GP demand and chronic disease burden, directly shaping regional healthcare resource allocation and commissioning decisions. • Led the Chronic Disease Forecasting initiative my work presented at a national health conference to strong reception from commissioners and policy stakeholders. • Conducted LGA-level chronic disease analysis quantifying the impact of chronic conditions on GP demand, with forecasting models projecting future disease rates to guide long-term service planning. • Delivered analysis that supported the expansion of after-hours GP program, while leading BI reporting across primary health commissioning programs to provide clear, consistent insights for executive decision-making.
• Built Power BI dashboards for Mental health surveillance and auditing that reduced report generation time by 40%. • Developed Mental Health dashboards aligned with Royal Commission priorities, working directly with executives to meet strategic and compliance requirements. • Translated complex patient data into accessible BI reporting for both internal clinical teams and external stakeholders.
Public Health Unit
• Responsibilities: o Analyzed large datasets to drive actionable insights. o Developed predictive models to support business decisions. o Collaborated with clinical research teams to extract, analyse, and transform research data using R, SQL, and Python. • Achievements: o Contributed to research papers, with work published in the Australian Review Journal o Utilized advanced data analysis and visualization techniques to aid in successful research grant applications. o Contributed to cross-continental research projects by extracting and providing relevant data. o Utilized advanced machine learning algorithms to design and test diagnostic tools and processes, significantly improving healthcare outcomes and saving lives. o Audited the validity of a sepsis detection tool in children using machine learning models.
Managed clinical health information across a major tertiary health network, building deep domain knowledge of hospital systems, coding standards, and patient data governance that now underpins my data science work.