Naman Gandhi
Background and experience
Naman designs and delivers advanced analytics and machine learning solutions across the travel, transportation, high-tech, manufacturing and pharmaceutical industries to improve performance.
Naman’s areas of expertise include statistical modeling, forecasting, Bayesian techniques, clustering, computer vision, recommender systems and deep learning techniques. Naman has thorough proficiency in R and Python and enjoys playing a hands-on role with his projects. He has published articles on behavioral personalization, computer vision and Bayesian modeling in leading journals such as ACM, IEEE and Elsevier.
Before joining ZS, Naman spent a year with Tata Consultancy Services’ research design and development center in the AI and machine learning lab. He worked as a research project intern, which involved creating a personalized, augmented and scalable ed-tech platform that helps students learn better. It was powered using computer vision, a recommender system and behavioral personalization techniques.
Education
Bachelor’s in computer science engineering, with honors, University of Pune, India