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Online Orientation Session on

Career opportunities in Data Science in post COVID-Era

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  • About the Webinar


    60 mins


    April 23, 2020


    3:00 pm

    Who is the Speaker?

    Shekhar holds two master’s degrees - one each in Marketing Management and Pure Physics. He has over 24 years of experience in Advanced Analytics and Marketing Research, a chunk of which has been with leading MNCs in leadership positions. He has over 2 dozen Advanced Analytics & Market Research models to his credit. At Facts ‘n’ Data®, he is a partner and Principal Consultant and devotes most of his time to StatLabs®, where he experiments with development and deployment of Statistical and Mathematical models in functional areas such as Operations Research, Marketing Analytics & CRM, SCM, Web Analytics, to name a few. He also dons the role of Chief Data Scientist in which capacity he develops and deploys Analytical Algorithms across industries. He is also known for deploying Text Analytics and Social Media Analytics for Competitive Intelligence.

    He also served as National Consultant (India) to the United Nations International Development Organization (UNIDO).

    He is a SAS Certified Predictive Modeler and is an advanced user of “R”, SAS, Python, IBM-SPSS, Weka, and Knime family of tools.

    V. Shekhar Awasthy

    Key Takeaways
    • Current economic scene
    • Skills needed to be a successful Analytics & Data Science professional
    • Job roles for & their shift in the industry
    • Real-life advanced analytics projects
    • Analytics in POST-COVID era

    Session Agenda

    There is no doubt that COVID-19 has disrupted our daily routines. It has given us a sense of insecurity, fear and uncertainty for the upcoming months. While the fear is justifiable, there is a need to take immediate actions and prepare ourselves better for the future.

    Keeping that in mind, we’ve put together a webinar to put across the audience the current state of the industry and how they can keep themselves ready for the future.

    Who Should Attend?


    Computer Science Graduates

    Aspiring Machine Learning Engineers


    Aspiring Data Analysts

    Aspiring Data Scientists

    Software Engineers