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Thought Leader Session
Thought Leader Session
Guidelines Session
Guidelines Session
Aging Adult Track
Aging Adult Track
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Additional Registration Fee

Navaneeth Talluri, N/A (he/him/his)

Indiana

Navaneeth Mourya Talluri is a Healthcare Data Science Professional with over six years of experience transforming real-world data into meaningful healthcare outcomes. Currently a Senior Analyst on the AI Innovation team at Eli Lilly and Company, he builds Retrieval-Augmented Generation solutions and develops LLM-based tools that have reduced manual effort in clinical documentation by 40%.
Navaneeth's career spans the intersection of healthcare and advanced analytics. At Aetion, he conducted feasibility analyses of healthcare databases for pharmacoepidemiologic studies and applied statistical modeling to evaluate treatment effectiveness across diverse patient populations. His work at Indegene involved architecting big data pipelines that processed over 250 terabytes weekly, deploying AutoML services on AWS and Azure, and building ensemble machine learning models that accelerated clinical trial recruitment by 20%.
His technical foundation includes Python, SQL, and cloud platforms like AWS and Azure, along with deep expertise in ML/DL frameworks such as TensorFlow, PyTorch, and SparkML. He has hands-on experience with major healthcare data sources including OPTUM, TRUVEN, IQVIA, and CMS claims data.
Navaneeth holds a Master of Science in Data Science and Analytics from Columbia University, where he studied NLP, deep learning, and healthcare analytics. He earned his undergraduate degree in Engineering and Technology from Mahindra Ecole Centrale in India. His credentials include AWS Solutions Architect Associate certification and a TensorFlow Developer Certificate.
Beyond his professional work, Navaneeth is writing a book that teaches SQL to healthcare professionals, drawing on his experience bridging the gap between clinical workflows and data-driven decision making. He is passionate about making technical concepts accessible to those who work with healthcare data daily but may lack formal technical training.

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