BIO

Harini is a Senior Manager, Analytics and Data Science at Chewy, where she develops AI-enabled analytics solutions that improve decision-making across large-scale supply chain operations. Her work focuses on applying large language models (LLMs), Retrieval-Augmented Generation (RAG), predictive analytics, and scalable data engineering to solve complex business problems. She has led the development of enterprise AI assistants that enable natural language access to analytics while improving data reliability, governance, and operational efficiency. Her research interests include AI for structured data, semantic retrieval, forecasting, and enterprise knowledge systems. Harini is passionate about bridging academic research and practical industry applications, helping organizations build trustworthy, scalable AI solutions for data-driven decision-making.