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Data driven jobs are in high demand these days. Companies are investing heavily in recruiting candidates with analytics / data science skills. Needless to say, their median salary is much higher than IT engineers / Marketing people. Harvard Business Review has already named it as ‘Sexiest Job of 21stCentury’.
In this session, we will look at thethe real side of data science, complete data architecture strategy followed by 2 hours hands on session.
10:00 amIntroduction by Analytics Vidhya
10:15 am Session by Nagarro Modernizing Architecture for a Complete Data Strategy
11:15 amTea &Snacks Break
11:30 amDeep dive hands-on session for 2 hours
Nagarro provides technology services for digital disruption to both industry leaders and challengers. When our clients want to move fast and make things, they turn to us. We combine design, digital and data to help them outperform the competition. We distinguish ourselves by our agility, imagination and absolute commitment to our clients’ business success.
Our better-known clients include Siemens, GE, Lufthansa, Viacom, Estēe Lauder, ASSA ABLOY, Ericsson, DHL, Mitsubishi, BMW, the City of New York, Erste Bank, T-Systems, SAP and Infor. Working with these clients, we continually push at the boundaries of what is possible to do through technology, and in what time frame.
Today, we are more than 3500 experts across 14+ countries. Together we form Nagarro, the global services division of Munich-based Allgeier SE.
Kamal is working with Nagarro as Director Technology, having 13+ years of technical experience in Data and Advance Analytics solutions development. His experience spans across domains like Capital Markets, eCommerce and Aviation wherein he has lead initiatives like Big Data on-boarding, BI modernisation, Advance Analytics implementation, etc.
Kamal is passionate for innovation in solution design and development with a view to reduce redundancy, increase scalability and help building businesses. Kamalholds a Masters in Computer Applications and professional certification in Big data and Analytics from MIT University.
We are excited to see you there.
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