Dr Purushothaman Ethiraj

Dr Purushothaman Ethiraj

Director @ KPMG India

About Dr Purushothaman Ethiraj

Dr. Purushothaman Ethiraj serves as a Director at KPMG Global Services, where he specializes in neural networks and deep learning models for business applications in Natural Language Processing and Computer Vision. He holds a PhD from the Indian Institute of Management Bangalore and an M.Tech from the Indian Institute of Technology, Delhi.

Work at KPMG Global Services

Dr. Purushothaman Ethiraj serves as a Director at KPMG Global Services (KGS) in Bengaluru, Karnataka. He has held this position since 2015, contributing to various projects and initiatives. His role involves leveraging advanced analytical techniques to address complex business challenges, particularly in the areas of Natural Language Processing and Computer Vision.

Education and Expertise

Dr. Ethiraj holds a Doctor of Philosophy (PhD) in Information Systems & Strategy from the Indian Institute of Management Bangalore, which he completed from 2001 to 2005. He also earned a Master of Technology (M.Tech.) in Applied Mechanics from the Indian Institute of Technology, Delhi, studying from 1997 to 1999. His educational background equips him with a strong foundation in analytical and strategic thinking.

Background in Analytics

Before joining KPMG, Dr. Ethiraj worked as an Analytics Manager for Channel Sales at Hewlett-Packard from 2009 to 2015. In this role, he utilized statistical techniques, including linear regression and logistic regression, to derive insights aimed at enhancing business performance. His experience in analytics has been pivotal in shaping his current expertise.

Technical Skills and Applications

Dr. Ethiraj possesses hands-on experience in developing neural network and deep learning models tailored to solve business problems. He is well-versed in advanced analytical techniques such as Monte Carlo Simulations and Markov Chains, applying these methods to generate actionable business insights. His technical skills are instrumental in addressing complex challenges in various domains.

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