Additional information
by Rajesh Jugulum (Author)
The goal for this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study -- it illustrates how the various topics discussed can be applied.
Author Biography
Rajesh Jugulum, PhD, is a data science innovation, analytics and process-engineering leader. He has experience in these areas in different types of industries including healthcare, finance and manufacturing. He held executive positions in the areas of process engineering and data science at Cigna, Citi Group and Bank of America. Rajesh completed his PhD under the guidance of Dr. Genichi Taguchi. Before joining the financial industry, Rajesh was at Massachusetts Institute of Technology (MIT) where he was involved in research and teaching.
Currently, Rajesh is Co-founder and Chief Data Science & Analytics Officer at dataDragon, a cloud based data science/analytics firm. He also teaches at Northeastern University, Boston as an affiliate professor. He is also an affiliate graduate faculty at University of Arkansas, Little Rock.
Rajesh is the author/co-author of several papers and five books including books on robust quality, data quality and design for lean six sigma. Rajesh also holds two US patents. Rajesh is a Fellow of American Society for Quality (ASQ) and also a Fellow of Royal Statistical Society (RSS) and his other honors include ASQ's Feigenbaum Medal, International Technology Institute's Rockwell Medal and 2012 Recognition Award from Industrial and Systems Engineering Department of Wayne State University. He has been listed in the "Who's Who in the World" list by Marquis Who's Who publication board. He was featured as "Face of Quality" in the September, 2001 issue of Quality Progress magazine and his Profile was also published in the October 2002 issue of the Journal of Quality Engineering Society.
Rajesh has delivered talks as the keynote speaker at several conferences, symposiums, and events related to data science, analytics and process engineering. He has also delivered lectures at several universities/companies across the globe and participated as a judge in data-related competitions.
