Register For This Webinar On Data Science In The Post-COVID World: Careers &#038; Skills
While the COVID pandemic has taken a toll on most businesses, it has also opened up newer avenues with areas such as data science, AI, cybersecurity, cloud computing, automation, IoT, among others to drive the digital transformation journey. There is an increasing need for skilled professionals that can lead the data science and other technologies as a part of their business continuity plan. As new career opportunities and skills emerge in the post-COVID world, this master class by industry and academic experts will provide a detailed insight into the opportunities that lie ahead. The webinar will cover areas such as: How has data science become crucial in the post-COVID world?What are the career opportunities in data science?What are the skills that companies are looking for in the post-COVID world?Making a career in data science in the new normal, and more. Register Here Speaker Details Ratnakar Pandey With over 17 years of experience in the analytics and data science field, Ratnakar Pandey currently leads the machine learning and analytics initiatives for customer services at Amazon India. He leads a talented and driven team of data scientists and analytics professionals to draw insights and build actionable models from mostly unstructured data such as text and speech. His focus areas include Natural Language Processing and Understanding (NLP/NLU), Automatic Speech Recognition (ASR), Vernacular Products Development, BI and Analytics, Visualization, among others. Prior to Amazon, he has worked at Kabbage, where he led the machine and deep learning models development activity across the customer life cycle. He has also been a part of the data science leadership team in Citigroup, Target, Texas Instruments, and few startups in India. Mukesh Saharan Mukesh Saharan is the AI/ML Lead at PepsiCo and is the primary lead for the advanced analytics team where he builds data science, machine learning and AI capabilities for Pepsico North America market. He is responsible for building the best-in-class team, processes, platform, governance systems while leading multiple machine learning and artificial intelligence initiatives across beverage and foods businesses. He also helps create awareness and influence adoption of AI and ML. He has previously worked with companies like Bridgei2i and TEG Analytics. He has a B.tech from NIT, Tiruchirapalli and MBA from Schulich School of Business – York University. Prof. Charanpreet Singh Prof. Charanpreet Singh is the founder and director at Praxis Business School Foundation. He has been the driving force behind the highly successful Data Science Program offered by Praxis Business School, and is one of the pioneers in this field, having started the Praxis full-time program as early as in 2011. Prof Singh has 30+ years of experience in organizations like British Oxygen, Tata Steel, PwC, HP and Praxis. He has professional and academic interests in the areas of education, learning, data science and communication and has been a mentor to career aspirants across domains. He is a Chevening Scholar of the British Government and has done his B. Tech in Mechanical Engineering from IIT Kanpur and his MBA from the University of Iowa in the USA. Register Here Webinar Details Topic: Data Science in the Post-COVID World – Careers & Skills” – Master Class by Industry and Academia Date: 28th November 2020 Time: 11 AM to 12:30 PM Register Here
While the COVID pandemic has taken a toll on most businesses, it has also opened up newer avenues with areas such as data science, AI, cybersecurity, cloud computing, automation, IoT, among others to drive the digital transformation journey. There is an increasing need for skilled professionals that can lead the data science and other technologies […]
This master class by industry and academic experts will provide a detailed insight into the opportunities that lie ahead.
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Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.