- Spearheading on catastrophe modelling using AIR and RMS software, applying deductibles and policy limits across 7 lines of business (LOBs) to accurately estimate potential financial losses from natural disasters.- Performed data cleansing and validation on large datasets to ensure accuracy and reliability before integration into catastrophe models, improving the precision of loss projections.- Analysed model outputs to assess risk exposure for multiple insurance portfolios, generating reports that supported risk mitigation strategies and informed underwriting decisions.- Collaborated with cross-functional teams to refine catastrophe models, incorporating client-specific policy terms and improving model outputs for enhanced decision-making on risk and reinsurance strategies.

- Conducted data analysis on property market trends, pricing, and investment opportunities to provide actionable insights for clients.- Created dynamic reports and dashboards using Excel, Power BI, or Tableau to visualize real estate data, helping clients make informed investment decisions.- Analysed large datasets on property transactions, rental yields, and market demand to identify patterns and forecast future trends.- Collaborated with clients and internal teams to customize data models and reports based on client-specific real estate investment goals and market conditions.

- Analysed quantitative data for clients using Microsoft Excel and visualized insights through interactive dashboards in Power BI based on client-specific requirements.- Designed balance sheets in Excel with integrated graphical representations in Power BI to enhance data visualization and reporting.- Stored, organized, and managed extensive client data in Excel, ensuring accuracy and efficient access to large datasets.- Developed data models to provide clients with deeper insights into market history, monetary policies, and financial trends for informed decision-making.