• Designed and implemented a customer segmentation model using unsupervised learning and clustering techniques to enhance customer insights. • Processed and analyzed millions of transactional records, performing data cleaning, transformation and feature engineering to build scalable input representations. • Evaluated and validated clustering performance using metrics such as silhouette score and comparative approaches to ensure robust and interpretable segments. • Collaborated with cross-functional teams to develop production pipelines, deploying the model into a scalable environment and bridging research to real-world use. • Documented methodologies, experiments and deployment workflows to support maintainability, onboarding and knowledge transfer.