
Highly skilled data analyst with strong expertise in R and Python, experienced in developing analytical models supporting real operational decision-making. Built and evaluated simulation models of TfL trip data that inform internal recommendations and developed NHS arrival-and-waiting-time models, revealing weaknesses in existing capacity-planning assumptions. Proficient in technical writing with LaTeX, having authored MSc and BSc dissertations with professional formatting. Experienced in analysing large, multi-million–datapoint natural disaster datasets to identify global trends. Adept at presenting complex quantitative findings to technical and non-technical stakeholders, demonstrated through presentations to TfL representatives. Strong team collaborator, effectively coordinating tasks within diverse groups and ensuring consistent documentation. Fluent in English, with intermediate French and beginner Greek.
• University of Southampton - MSc Operational Research & Finance - Merit
• University of Southampton - BSc MORSE - 2:1
• Achieved 93% in final-year dissertation for original analysis combining game theory and behavioural modelling
• Silver Duke of Edinburgh Award — fast-tracked past Bronze for high-quality application and commitment