Data Science or Data Analytics? Which is right career choice for you? | Zubin Saini | #TGV182

Data Science or Data Analytics? Which is right career choice for you? | Zubin Saini | #TGV182

Genre: Data Science, Career Development, Data Analytics

We live in a world surrounded by data. Very few are aware how this data is literally a goldmine for all businesses. This is due to the vast amount of information these small chunks of data contain which can be transformed into big decisions. All modern companies need a data scientist and analyst for them to make decisions based on customer response and satisfaction. Tune in to hear inputs from an experienced data scientist who has worked through many companies and multiple roles.

In the episode:

• Zubin’s career journey and top 3 things that contributed towards his career. (2:33)
• Difference between Data Science and Data Analytics. (8:25)
• How can data science help businesses? (12:09)
• Technologies in Data Analytics and where to start? (19:23)
• Evolution of Data Science and Future trends. (24:14)
• Career opportunities in field of Data Science and Analytics (29:10)
• Rapid fire questions (34:10)
• What is your one advice for those aspiring to make big in their careers? (36:46)
• Trivia on Computer Virus (39:16)

About Zubin: 

Zubin is currently helping start-ups in an external role to incubate Analytics and ML/AI in-house and providing analytical solutions. He has a B. Tech from IIT Delhi, and a Post Graduate Diploma in Management from IIM Calcutta.

He started his professional journey with Absolutdata, right after engineering, which he left after a year to join IIM Calcutta. After his PGDM, he worked with Ernst and Young and then back to Absolutdata, where he worked for eight years. After a short stint with Oyo leading their Pricing algorithm, Zubin now works as an independent consultant in the field of Data Analytics.

Connect with Zubin on LinkedIn:  

https://www.linkedin.com/in/zubin-saini-329870b/

Naveen Samala: https://www.linkedin.com/mwlite/in/naveensamala

Sudhakar Nagandla: https://www.linkedin.com/in/nvsudhakar

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