
Dr. K.S. Harish
Program Chair – PGDM Business Analytics & Professor
Professor of Data Sciences and Program Chair for PGDM (Business Analytics) at SSIM with 30 years of experience.
Qualification
Ph.D., M.Sc., MBA
Experience
30 Years
Department
Data Science & Information Systems
Area of Expertise
Data Science & Information Systems
Designation
Program Chair – PGDM Business Analytics & Professor
drharish@ssim.ac.in
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Dr. K.S. Harish
Program Chair – PGDM Business Analytics & Professor
Qualification
Ph.D., M.Sc., MBA
Experience
30 Years
Department
Data Science & Information Systems
Dr. K. S. Harish is a Professor of Data Sciences and the Program Chair for the PGDM (Business Analytics) program at SSIM. He holds a Ph.D. from Osmania University, an M.Sc. from Sri Venkateswara University, Tirupati, and an MBA from Pondicherry Central University. His doctoral thesis, titled "Circular, Quotients and Remainder Distributions for Specified Base Distributions," reflects his strong foundation in statistical research.
With over 30 years of academic and professional experience, Dr. Harish has extensive expertise in teaching and training in the areas of Business Statistics, Operations Research, Business Research Methodology, and Business Analytics. He has also conducted training programs for employees of BHEL and ECIL in the areas of Operations Management, Logistics Management, and Total Quality Management (TQM).
Dr. Harish has served as a resource person for several ICSSR-sponsored National Faculty Development Programs (FDPs) on Research Methodology in Social Sciences, organized by Kakatiya University, Rayalaseema University, Sri Krishnadevaraya University, Osmania University, and various Osmania University-affiliated colleges in Hyderabad.
He has presented research papers at national and international conferences. In addition, he has edited six books, attended various workshops, served as a resource person in Faculty Development Programs, and conducted numerous student development programs.
His research and teaching interests include Time Series Modelling, Marketing Analytics, Machine Learning, and Business Analytics.
Department
Data Science & Information Systems
Area of Expertise
Data Science & Information Systems