
Analytically driven Data Analytics student with experience using Excel, Tableau, SQL, R and statistical tools to transform complex data into actionable insights. Skilled in predictive analysis and working with unstructured datasets with a strong attention to detail and a methodical approach to tasks. Alongside a background in International Business, Developed strong communication, teamwork and customer service abilities through customer-facing roles where consistently supported positive customer experiences handled transactions accurately and contributed to overall sales performance. I am eager to build a long-term career in CRM analytics and customer insight, where I can continue developing the technical expertise while helping organisations make data-driven decisions and improve customer engagement.
Weather Impact on Transport Demand (TfL + OpenWeather API) – Analysed large-scale +3Million rows datasets to assess how weather drives transport demand changes across London. Identified a 3% network wide demand drop during heavy weekend rainfall, with up to 5% at event stations and 1–2% weekday declines during extreme wind conditions. Also observed peak time demand increases of up to 30% at key commuter stations during Autumn.