I am a Data Scientist with over six years of experience delivering end-to-end machine learning solutions across health research, retail, banking and telecommunications. My expertise spans machine learning model development, data analytics, and the design of data pipelines and dashboards. I have worked extensively on productionising machine learning workflows, maintaining scalable models, and building generative AI tools. In my current academic role, I contribute to research in primary care by analysing electronic health record (EHR) data and conducting feasibility studies to explore machine learning applications in general practice. My work integrates AI and health informatics, with a focus on using real-world data to inform future predictive modelling and decision support systems in primary healthcare. I have also authored technical documentation, reviewed production code, and collaborated closely with multidisciplinary teams to ensure sustainable AI practices in complex data environments.