Hiren Bilaney

Designed and deployed a scalable machine learning system that improved customer churn prediction accuracy by 28%, enabling proactive retention strategies for telecom clients.

Collaborated with cross-functional teams to integrate AI models into production, resulting in a 35% increase in automation efficiency for key business processes.

Implemented advanced machine learning algorithms for customer segmentation, driving a 25% increase in targeted cross-sell campaigns and boosting overall revenue by ₹120M.

Streamlined data pipeline architecture, accelerating analytics reporting by 40% and enabling real-time insights for over 50 business units across the bank.

Directed the redesign of eBay’s recommendation system, boosting personalized product suggestions and increasing click-through rates by 38% within six months.

Led a cross-functional team of 10 engineers and data scientists to deploy machine learning models that improved recommendation accuracy, driving a 22% uplift in user engagement.