Looking forward to a career transition to Data science?
Organizations are investing heavily in data science talent to stay or move ahead of their competitors. As a data science aspirant, you couldn’t have picked a better time to change your career!
However, switching to a career in Data Science has its own challenges for freshers as well as for experienced professionals. Some of the most common challenges faced by Data Science aspirants are:
Can non-technical people transition to Data Science?
Will an experienced professional be treated as a relative fresher when he/she makes a switch to data science?
Which Data Science role should they consider?
Will their existing skill-set be useful in Data Science?
and more such questions.
To help address all these concerns, Analytics Vidhya & KPMG in India together are conducting a live webinar on "How to make a successful switch to Data Science".
We invite all students, professionals & data science aspirants to come and join us in this webinar.
Agenda of the Webinar
Who should transition to Data Science?
What are the challenges faced while transitioning a career into Data Science
How should freshers prepare for a successful transition into Data Science
How should working professionals prepare for a successful switch into Data Science
Q/A
Who should attend the webinar?
Students & working professionals who want to pursue a career in Data Science or Data Analytics.
Speakers
Arihant Garg
Partner Lighthouse (Analytics, AI and Data), KPMG in India
Arihant is a business consulting leader helping clients across industries in business and IT transformation projects with 15+ years of experience. Currently he is a Partner with Analytics practice at KPMG. Arihant focuses on end to end Analytics – Analytics Strategy, BW/DW Implementations, Dashboard & Reporting transformations, Advance Analytics and Big Data implementations. He possesses excellent Business Development skills including experience of working with various OEMs.
Parul Pandey
Data Scientist/Evangelist, H2O.ai
Parul is currently working as a Data Scientist/Evangelist at H2O.ai, the creator of the leading open-source machine learning and artificial intelligence platform. She is also a Kaggle Grandmaster (Notebooks). Parul is a leading voice in the machine learning field and her articles, tutorials and her journey has served as an inpiration for many.
Arihant Jain
Lead Data Scientist at ZestMoney
Arihant is currently working as Lead Data Scientist at ZestMoney with 6+ years of experience in Data Science, Deep Learning, Predictive Modelling, Machine Learning & Optimization. He worked on building Machine Learning / Deep Learning models in Retail, Credit Risk, Marketing, Collection , Customer Service & Digital across Banking, Digital, Industrial IoT & Telecom domain. He has previously worked with companies like Genpact, RBL Bank, GE & Vodafone, using Data Science & Analytics to drive different impact business use cases
Pranav Dar
Senior Content Strategist & Data Scientist at Analytics Vidhya
Pranav is a Data Scientist and Senior Content Strategist for Analytics Vidhya. He has experience in data visualization and data science. Pranav has previously worked for a number of years in the learning and development field for a globally-known MNC.
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