MBA Level Online PGDM Program in Data Science and AI

Srabashi is an analytics expert and an academic administrator. She does extensive work in statistical applications in different areas like health analytics, complex data analytics, aviation industry, CRM etc. She has published research papers in many areas of statistics and is always eager to apply her skills in challenging areas including finance, retail, marketing and other areas. She also works as a Corporate Trainer in Business Analytics, Predictive Modeling, R and SAS and leverages her work experience to prepare business case studies. She has developed online course materials in Statistics, Business Analytics, R and SAS. She is involved in professional training and corporate coaching for more than a decade now. She is adept in developing course for short-term, long-term and regular classes as well as online learning. She is also an efficient academic administrator. Specialties: Big data analytics, Statistics, Marketing Research, Market Survey, Business Intelligence, R, SAS, Minitab, Professional training, Academic administration.

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Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

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Prof. Mukesh Rao is a senior faculty of Data Science in Great Learning and he is responsible for designing data science courses offered and mentoring students with capstone projects. Prof. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science and has conducted extensive corporate training in Data Science and Big Data. He also works as a Data Science Trainer & Consultant for 4v Technologies and conducts training in core big data technologies and data science. He has headed Big Data teams at SourceOne and has worked with tech giants like Wipro Technologies.

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Dr. Sanchita holds a PhD (EFPM) from IIM Raipur, specialising in Information Systems, and a B.E. from NSIT. She has 16+ years of industry experience in Data Science and Analytics across various domains. During her industry stint, she has successfully delivered AI ML projects for Fortune 500 companies and designed various AI and ML-based upskilling initiatives. She was recognised in 2021 as ‘3AI Women to Watch Out in Analytics’ for her professional contributions. She aspires to leverage technical and research advancements to benefit learners and contribute to the research community through curriculum development and publications.

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