The IS area trains students to harness the power of information and communication technology to reshape existing businesses and enable new products and services. Students learn about current technologies as well as appropriate organizational practices to realize their potential. A particular area of focus is data science, including the application of Big Data to inform business decisions.
Currently a Professor in the area of Data Science, Prof Chandrashekhar has over two decades of experience in industry and academia.
His industry stints span Consulting and Business Development activities in India, GCC Countries, Europe and USA – in new product and new business launches, setting up and running overseas offices, and assisting start-ups in building their client base, amongst others. His Consulting stints include efficiency improvement, profitability improvement, valuation of firms, and creation of roadmaps, amongst others.
Prof Chandrashekhar has been an academic for more than a decade as a faculty at XLRI, IIM Indore, and IIM Ranchi before joining IFMR.
His research interest spans investigating strategic actions, unravelling complexity, and data-based exploration. He has so far spear-headed the data science initiative at the IFMR GSB for MBA and working executive audiences. This initiative also includes an Analytics Hub that is now engaging with institutions and industry for analytics assignments. He has published in international journals and presented in international conferences.
He holds a B.E. in Electronics & Communication Engineering from University College of Engineering Osmania, a PGDM from IIM Bangalore, and an FPM from IIM Lucknow.
Sumit Mishra is an Assistant Professor of Economics at IFMR, Sri City.
His research interest lies in development economics focusing on issues of public goods and caste diversity, and structural transformation in India.
He holds a PhD in Development Studies from Indira Gandhi Institute of Development Research, Bombay.
Prof. Muneer Shaik handles courses in the area of finance and data science for MBA students and is actively involved in training corporate clients. He holds a PhD in Finance from Madras University, a Masters in Economics, and Bachelors in Mechanical Engineering from BITS Pilani, with over 5 years of financial industry experience with JPMorgan in a managerial position in the equity and fixed income department.
Prof. Shaik has presented research papers at multiple conferences in India and abroad, and some have even won the best paper awards. His research interests are mainly in the areas of volatility modeling, financial econometrics, market efficiency and applications of data science in the area of finance.
Amit taught in the undergraduate, MBA, PhD and executive programmes and conducted research in information systems at Nanyang Technological University, Singapore, from 1994 to 2009. His teaching and research spanned the technology (database, networks, and information security) and behavioural (decision-making, technology evolution and e-Government) domains. For the next ten years, he worked at Qatar University, teaching at all levels (bachelors, masters and doctoral) and continuing his research in management and information systems. Amit has a B.Tech in Electronics Engineering from IIT Kharagpur, and a post-graduate diploma in Management (PGDM) from IIM Calcutta. After working with Tata Motors in market research for three years, he earned his PhD in Information & Decision Sciences from the Carlson School of Management, University of Minnesota, in 1994. Amit has collaborated with businesses (such as Apple, Asatsu-DK, Cray Research, Google, HP, IBM, Oracle and Qatar Petroleum) and public sector organizations (such as APEC, IDA Singapore and People’s Association) on a variety of research and consulting projects. His papers have been published in reputed journals such as Management Science, Strategic Management Journal, International Small Business Journal, Journal of Behavioral Finance, and Information & Management. He is a regular participant at international conferences on management and information systems.