Analyze consumer preferences to segment products and guide product, pricing, and portfolio strategy using affinity-based data.

End-to-end motor insurance analytics project using a two-stage (hurdle) modeling approach to predict claim occurrence and claim severity. Combines business analysis, machine learning, and risk insights to support underwriting, pricing, and claims optimization in General (P&C) Insurance.

Affinity-based consumer segmentation analysis linking product attributes to distinct customer personas, with strategic implications for pricing, positioning, and portfolio design.

Business analytics project analyzing Net Promoter Score (NPS) impact on profitability and recommending strategies to improve customer satisfaction and revenue.

Healthcare analytics portfolio project applying Proportional Reporting Ratio signal detection, clinical pipeline rNPV modelling, and HTA-driven market access analysis across 4 interconnected workstreams.