I’m a freelance Data Scientist based in Melbourne, Australia with over two years of experience delivering practical, end-to-end data solutions. I specialise in predictive modelling, statistical analysis, and turning complex datasets into clear, actionable insights.
I’ve worked across forecasting, experimentation (A/B testing), segmentation, and automated reporting, using Python, SQL, and machine learning techniques. In previous roles, I’ve reduced reporting turnaround time from 40 minutes to under 12 seconds and supported data-driven improvements that led to a 7% uplift in conversion outcomes.
I’m comfortable working independently on remote projects and collaborating with cross-functional teams. I focus on clear communication, reliable delivery, and building solutions that create real business value.
Tools: Python, SQL, R, scikit-learn, time-series forecasting, regression & classification, cloud analytics (GCP).
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