Building successful Data Science Teams

vumaasha


Description:

We will see what it takes to build a successful Data Science teams

  • By demystifying several buzz words in the industry.
  • By covering the purpose of several roles in a Data Science team. Who is a Data scientist and who is a Data Engineer?
  • How does a Data Science team in a Startup differ from one in an Enterprise?
  • Case Studies

Draft Slides: https://docs.google.com/presentation/d/1ROIBvFdCCifbi_qpaW6txbkxcG_nSbtzbmNXRRR6keA/edit?usp=sharing

Content URLs:

Draft Slides: https://docs.google.com/presentation/d/1ROIBvFdCCifbi_qpaW6txbkxcG_nSbtzbmNXRRR6keA/edit?usp=sharing

Speaker Info:

Venkatesh Umaashankar is a Master Researcher at Ericsson Research. His current areas of focussing mainly in the areas of Machine Learning, Deep Learning, IoT, NLP. He has strong product development, programming, and engineering background with practical expertise in developing machine learning applications.

Speaker Links:

  • Linkedin : https://www.linkedin.com/in/venkateshumaashankar
  • Github: https://github.com/vumaasha/ twitter: https://twitter.com/vumaasha
  • Google Scholar: https://scholar.google.co.in/citations?view_op=list_works&hl=en&user=hkvrAEMAAAAJ

Id: 1323
Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Beginner
Last Updated: