Summary
Arvind Tolambiya is a seasoned data science leader with nine years of experience delivering AI/ML solutions across life sciences, healthcare, and retail. As Associate Director at Accenture, he guides end-to-end data analytics—from mining vast unstructured text to extracting insights, NER, topic classification, and sentiment analysis, to reconstructing event data from Kaplan-Meier curves and reconciling calorimetry databases. He previously led a 20+ person data science team at KOGENTiX (before its Accenture acquisition) and has hands-on expertise in computer vision, NLP, DL, and generative AI, including deploying Dash-powered visualizations for key insights. His technical scope extends to transforming chemical reaction data into SMILES, building multi-model fraud/anomaly detection, and developing next-best-action analytics for global pharma clients. Based in Pune, India, he blends strong R&D roots with enterprise delivery, consistently turning complex data into actionable decisions. He holds a PhD in Electrical Engineering from IIT Kanpur and a track record of shaping product strategy, architecture, and client demos across multinational teams.
9 years of coding experience
8 years of employment as a software developer
M.Tech, Electronics & TeleCommunication, M.Tech, Electronics & TeleCommunication at College of Engineering Pune
B.E., Electronics & Communication Engineering, B.E., Electronics & Communication Engineering at University of Rajasthan
Indian Institute of Technology Kanpur