Prathyusha Bhaskar Karnam is a Senior Data Scientist with more than nine years of experience specializing in search, relevance, and recommendation systems within large-scale e-commerce platforms. She is recognized for her ability to optimize user experience and engagement through data-driven experimentation, advanced machine learning, and scalable analytical frameworks.
Prathyusha currently works on the Uber Eats Search team, where she leads high-impact analytics, experimentation, and measurement initiatives that shape product strategy. Her work includes building LLM-driven systems for query tagging and relevance measurement, designing custom frameworks for evaluating cannibalization and revenue lift, and advancing search-page optimization using domain expertise in ranking, recall, and user behavior. Her contributions have delivered measurable business impact, including significant Add-to-Cart rate improvements, multimillion-dollar cost savings, and recognition with the Uber Eats Efficiency Drive award.
Previously at Instacart, Prathyusha served as the primary data scientist supporting multiple product managers and engineering teams across Search Experience and Relevance. She led foundational data work, experimentation frameworks, and analytics for initiatives such as Ask Instacart’s LLM-powered search experience. Her recommendations directly influenced product strategy and are estimated to have driven hundreds of millions of dollars in business impact through improvements in relevance, ranking, and user experience across search surfaces.
Before joining Instacart, Prathyusha held data science roles at Wayfair, where she developed experimentation platforms, customer segmentation models, and image-ranking systems that substantially increased revenue and engagement. Her earlier experience also includes work at Pitney Bowes, where she developed predictive churn models and customer health scoring systems, and at Fidelity Investments, where she built monitoring systems and automation tools that reduced operational overhead.
Prathyusha holds a Master’s degree in Information Systems Management (Business Intelligence & Data Analytics) from Carnegie Mellon University, graduating with Highest Distinction, and a Bachelor of Technology in Computer Science and Engineering from SRM University. She is also an inventor on multiple U.S. patent applications related to search recall optimization and LLM-driven user interface layout selection.
Her technical expertise spans machine learning, LLMs, statistical modeling, experimentation, data engineering, and data visualization. She is known for her strong cross-functional leadership, rigorous analytical thinking, and ability to translate complex insights into strategic product decisions that drive meaningful business outcomes.