About the reviewers

Dr. P.K. Viswanathan has been rated as one of the top 10 and top 20 most prominent Analytics and Data Science Academicians in India in the years 2017 and 2018 respectively. In his industrial tenure, spanning 15+ years, he has held senior management positions in Ballarpur Industries and J.K. Industries. He holds degrees in MSc(Madras University), MBA(FMS, Delhi), MS(Manitoba, Canada), and PhD(Madras University). He has authored various books on Business Statistics and Marketing Research. He has published research articles in reputed journals and has presented papers in national and international conferences. He has also conducted many training programs, and is involved as a key faculty in the Management Development Programs at Great Lakes.

Vadim Smolyakov is currently pursuing his PhD at MIT in the areas of computer science and artificial intelligence. His primary research interests include Bayesian inference, deep learning, and optimization. Prior to coming to MIT, Vadim received his undergraduate degree in engineering science at the University of Toronto. He previously worked as a data scientist in the e-commerce space. Vadim is passionate about machine learning and data science, and is interested in making the field accessible to a broad audience, inspiring readers to innovate and pursue research in artificial intelligence.

Swarna Gupta holds a B.E. in computer science, and has 5 years of experience in the data science space. She is currently working with Rolls Royce in the capacity of a data scientist. Her work revolves around leveraging data science and machine learning to create value for the business. She has extensively worked on IoT-based projects in the vehicle telematics and solar manufacturing industries. Swarna also manages time from her busy schedule to be a regular pro-bono contributor to social organizations, helping them to solve specific business problems with the help of data science and machine learning. She takes a keen interest in the mathematics behind machine learning, deep learning, and artificial intelligence.