Flowers

DataHour: Product Oriented Data Scientists

Online 01-09-2022 08:30 PM to 01-09-2022 09:30 PM
  • 9780

    Registered

  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

In the world of data science, for every problem (use case) we can either have just a solution, or a product. The value we can add via a product mindset is exponentially more, than just the solutioning piece. The enhanced possibilities of creating an intellectual property via the products cannot be overstated either. 

This DataHour will involve how Data Science needs to go beyond solutions, and have data products instead. We will have a scenario-based understanding of how to create a solution for a problem, and then take it a few notches up as a data science product, and various other nitty-gritties. For participants who are interested, we will also discuss opportunities to co-create data products. In summary, this session would be about how participants can follow the pathway towards achieving a data product mindset.

Prerequisites:  Enthusiasm for learning and a creator mindset in data science.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth

 

Speaker:

Sabitra Panda

Co-Founder and Chief Data Scientist at ByteIQ Analytics

Sabitra is a seasoned data innovator, having almost 15 years of experience in this field. He is the Co-Founder/COO/Chief Data Scientist at ByteIQ Analytics (A boutique Data Innovation firm). He has completed his engineering from NIT Rourkela, and MBA from IIM Indore. He has multi domain data science experience by working for Accenture, Lenskart, Goldman Sachs, National Instruments and Standard Chartered. He has set up the analytics division from scratch in Lenskart (unicorn). He has led the global data teams in many of the companies mentioned above. He has an avid interest in training, and has trained more than 500 people globally in Data Science. He is a visiting faculty in many B-Schools for the same.

You can follow him on Linkedin.

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