Banani Mohapatra
Senior AI/ML Data science Manager at Walmart
Banani is a data science leader with over a decade of experience in e-commerce, payments, and real estate, specializing in AI and machine learning to drive business impact. She leads a global data science team at Walmart, focusing on subscription product growth across multiple geographies, contributing to billions in revenue. With expertise in Causal inference and AI applications, she has built scalable measurement frameworks and led Generative AI (GenAI) and LLM initiatives to enhance content generation and user engagement. By leveraging LLM-driven embeddings, she streamlined product specification summarization, and developed an adaptive GenAI content framework for landing pages, personalizing banners and driving subscription growth. Before Walmart, Banani was a Staff Data Scientist at Realtor.com, independently leading end-to-end data science initiatives. She developed a propensity scoring model that increased retention rates by 13% YoY and built a dynamic pricing model, optimizing revenue strategies. Her contributions earned her industry recognition for delivering high-impact solutions. Banani holds a Master’s and Bachelor’s degree in Electrical Engineering from IIT Delhi, a globally recognized institute. She is also a published author, with research featured in machine learning and experimentation journals, and actively mentors in the “Women in Data Science” forum.
Watch in-person: November 6
From Data to Decisions: The Role of AI in Personalized RecommendationsIn an era of information overload, helping users find exactly what they need—quickly and effortlessly—has become a cornerstone of great product design. At the heart of this lies the art and science of personalized recommendations, now accelerated by the power of Generative AI (GenAI) and Machine Learning. This session explores how AI transforms broad, generic search queries into personalized, visually intuitive experiences using token-based refinement systems. For example, a user searching for “laptop” is guided through a GenAI-powered experience that refines their query into tailored, meaningful options such as gaming, lightweight, touchscreen, or under $1,000. We’ll explore how AI is applied at every stage of this journey, from token generation and normalization to data merging, diversity enforcement, and dynamic image generation. The session will also highlight how these innovations positively impact downstream metrics like CTR, conversion, and engagement. Join us to see how LLM-driven logic, ranking models, and NLP are redefining the way users search, discover, and shop.