Path For Successful Data Science Career


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About this session

This live session will help you understand the Architectural Framework for Data Science based on theoretical Knowledge and hands-on. What are the skills required for Data Science? How would you transition to a career in Data Science? How to deal with the rejections due to gaps in career? As the world of Analytics is taking a pitch in Cloud Platforms, how to upgrade your capabilities to match it. In this Session, you will be able to know about the equitable aspects that a person needs to transition. Will only theoretical knowledge help? Is it important for you to have 100% hands on knowledge in Coding? Rejections are sure in career gaps due to trust issues of the companies and how to deal with it. Join the session to find answers to many more such interesting questions.

About the Speaker

Ms. Sonakshi Pattnaik

Data Scientist(NLP and ML), Genpact


Sonakshi started her career in KPO where the work was monotonous. As there was nothing much to explore in that field, she decided to upskill. She wanted to take a transition into Data Science for which she enrolled herself into Great Learning's Data science engineering program. She now works as a Data Scientist at Genpact India, primarily on NLP and Machine Learning. Apart from Data Science as a profession, she runs her website and works as a content writer. She is very much keen in exploring new technologies and has also worked on different cloud platforms like Google and Azure.

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