As a data science consultant for a fitness-tracking mobile application, I led an analysis aimed at uncovering distinct patterns in user running behavior. By examining variables such as frequency, duration, intensity, and consistency of workouts, I segmented users into meaningful groups based on their activity profiles. These insights were used to recommend tailored premium features that align with the needs and preferences of different user segments—supporting strategic decisions around product development, personalization, and monetization.N.B This is artificially generated data.

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This project aims to Identify key factors influencing vehicle insurance claims.The risk department aims to understand which factors contribute to vehicle-related insurance claims. These factors may include driver age, vehicle mileage, and service history. The goal is to use this analysis to support more informed underwriting decisions. N.B This is artificially generated data..

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