Data Science for Industrial Applications (Online Free Workshop)

Industrial processes generate large amounts of data that can be used to predict supply and demand, reduce costs and machine downtime, improve production efficiency in the industrial environment. Our workshop on Data Science for Industrial Applications will give you an insight into how you can use data to its full potential. This workshop is focused on introducing several data science techniques using real-world case studies and examples. You will also have the opportunity to talk to leading industry experts and mentors who can answer your questions on the topic. This workshop is designed for industry professionals, leaders and students.

Online, 2PM - 6PM
14 June, 2020
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What you will learn

Who is it for?

  1. Industry professionals and engineers working in the manufacturing and IT industry interested in getting exposure to data analysis tools and their application for the problem they are dealing with.
  2. Mid-level and senior leadership who would like to get acquainted with data science terminology and would like to build awareness on the various possibilities of providing solutions to existing problems within their industry.
  3. Academic people such as university professors who need to teach and carry out research projects related to data science.
  4. Students in Engineering, from Computer Science, Electronics and IT, who would like to get experience with real life examples on programming for data science
  5. Students in Engineering, from Civil, Mechanical and Electrical, who would like to get equipped with basic programming using Python and study the basics of data science as it matters to their respective industries.

Faculty

Dr. Sham Gurav

Dr. Sham Gurav is a Ph.D. in Mechanical Engineering from Delft University of Technology, the Netherlands and M.Tech. in Aerospace from IIT Madras. He did Postdoctoral Research at VirginiaTech, USA on a project for NASA in collaboration with Lockheed Martin. He worked in the Aerospace Industry in GE, Eaton and Atkins for about 10 years in Europe and India. He has developed novel data driven optimisation tools and methodologies for applications in manufacturing and other industries. He is also associated with academic institutes for over 4 years in teaching and research

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