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Data science is one of the most rapidly developing industries in India and has far and wide applications across different fields.
The field requires experts who can pose the correct inquiries, diagram what data is required, gather the data, and analyze it adequately. As such, data science experts utilize scientific techniques to look at monstrous amounts of data and gather important data to be used for a particular reason or project.
Any individual who is keen in a career in data science is urged to join up with a degree program in this field. Fortunately, as the demand for these skilled experts develops, so too has the number of on-campus and online data science programs at all levels. To give imminent students a vibe for this emerging field, here are a few remarkable data science professors in India,
Dr. R.L. Shankar is a professor of finance and analytics with more than ten years of involvement instructing MBA students, Ph.D. scholars and working executives. He has BTech from IIT Madras, MS in computational finance from Carnegie Mellon University, US, Ph.D. in Finance, EDHEC (Singapore), and has prepared more than 2,000 employees from renowned firms. With different research papers published under his name, he recently got a research award from NYU Stern School of Business and NSE for unique exploration on Low latency trading and co-movement of asset prices.
He is a Professor and Ex-Head Computer Vision and Pattern Recognition Unit at Indian Statistical Institute, Kolkata. He has B.Tech. (Hardware)and M.Tech. (Correspondence) from Calcutta University, Ph. D. – Indian Institute of Technology, Kanpur, Post – Doctorate – Queen's University, UK.
His research mainly lies in Natural Language Processing including Lexicon Generation, Ambiguity analysis, Syntactic and Semantic analysis in Bangla and other Indian Languages, Computer Vision and Image Processing, Digital Document Processing, Optical Character Recognition, etc.
She is the Institute Chair Professor Computer Science and Engineering at IIT Bombay. She has M.S. in Computer Science, University of California at Berkeley, B.Tech in Computer Science, Indian Institute of Technology, Kharagpur, Ph.D. in Computer Science, University of California at Berkeley
Her recent research incorporates – Domain Adaptation and Domain Generalization, Continuous, Reusable, Human intervenable and Modular Learning, Graphical models for selective node labeling in social networks, Neural Models for Sequence Prediction with applications to dialog generation, translation, grammar correction, and time series forecasting, etc.
Dr. Pulak Ghosh's essential advantages rotate around Big Data, banking analytics, business analytics, marketing analytics and Machine Learning. A visiting faculty to probably the most reputed foundations in India like Manipal Global Academy of Data Science, Dr. Pulak Ghosh is an investigation guide to the SBI (State Bank of India). Moreover, he is additionally essential for the Big Data advisory group at the United Nations. With more than 70 articles published for reputed journals across the globe, he advises organizations on Big Data and analytics.
With a MA in Economics from Delhi School of Economics and Ph.D. from ISI, Dr. Mukhopadhyay is presently the professor and director of the PGPBA program at Great Lakes Institute of Management. He is additionally the visiting professor of the University of Ulm, Germany, and distinguished Professorial Associate, Decision Sciences and Modelling Program, Victoria University, Australia. His interest areas incorporate derivatives and financial risk management, applied economic theory, survey design, game theory, econometrics, analytics, etc.
He is a teacher at the Department of Computer Science and Engineering and the Mindtree Faculty Fellow at the Indian Institute of Technology Madras. He additionally heads the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras. His ebb and flow research intrigues the more extensive zone of machine learning, going from Spatio-fleeting Abstractions in Reinforcement Learning to social network analysis and data mining. A significant part of the work in his team is coordinated toward understanding interactions and learning from them.
Anush Sankaran is a Senior Researcher at IBM Research AI. Prior to that, he likewise filled in as Adjunct Professor at IIT Bangalore. He is a Ph.D. researcher from IIIT Delhi.
His research expertise is in the utilizations of AI and deep learning with applications to computer vision and natural language processing. He has chipped away on a variety of applied research projects and has practical experience in the presentation of machine learning and deep learning-based solutions for customary industry issues.
With a rich experience across the scholarly world, research, industry, training and counseling, Dr. PK Viswanathan, right now, fills in as a professor of analytics at Great Lakes Institute of Management. He educated subjects, for example, business analytics, business statistics, predictive analytics, operations research, etc. Apart from executing corporate consultancy assignments, Dr. PK Viswanathan has additionally planned and conducted training programs for some driving companies in India. He has degrees in MSc (Madras), MBA (FMS, Delhi), MS (Manitoba, Canada), Ph.D. (Madras).
Manish currently serves as the Associate Dean of Research at Indian School of Business and the Executive Director of ISB Institute of Data Science, Hyderabad. He has done his BE from IIT, Roorkee and PhD from The University of Texas at Dallas. His core interest lies in Business Analytics, New Product and Technology, Monetization, Pricing etc.
Sriparna is right now a Faculty Member in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. She got the M.Tech and Ph.D. degrees in software engineering from Indian Statistical Institute Kolkata, Kolkata, India, in the years 2005 and 2011, individually. She is the writer of a book published by Springer-Verlag. She has created and co-authored more than 120 papers in reputed journals and conferences including IEEE/ACM transactions, core ranked conferences.
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