Private sector lender YES Bank has significantly ramped up its focus on data management and analytics.

The bank has shortlisted top 200 data-science professionals to form a core part of YES Datathon, the bank’s initiative to crowdsource data-driven solutions from some of the leading data scientists and analysts across the world.

These candidates include students from top technology institutes – IIT Bombay, Chennai, Kharagpur and ISI Kolkata – and also more than 150 professionals from organisations such as IBM, Walmart Labs, Siemens, Amazon Development Centre, Capillary Technologies, TCS, Accenture, Amdocs and Infosys, among others, who will take on the challenge beyond their professional duties.

Talking to BusinessLine , Amit Shah, Chief Fintech Officer, YES Bank, said: “With emerging technologies playing a massive role in redefining businesses, there is a clear need to not only invest in these technologies but also in reskilling and upskilling current and future workforces.”

Datathon aims to provide a hands-on learning platform for students and data professionals to augment their skills on real challenges, he said, adding that it has also onboarded a pool of more than 30 data-science experts and leaders across industries to support the data-science teams and help the bank identify and share use cases. Experts from data-driven companies such as Cloudera and Amazon Web Services, among others, will work on an ongoing basis with this team.

“The financial services industry is fairly unique in terms of use cases and problem statements that data analytics professionals face. For us, Datathon is a first-of-its-kind opportunity, where we are working almost as an extension of the bank’s data analytics team, creating live data models on practical use cases and data stacks; we are really kicked about building go-live ready data models over the next 30 days,” said a team from Capillary Technologies.

YES Bank’s Datathon will also host AI/ML challenges and data engineering workshops at IIT Bombay’s Techfest and several other technology institutes to deepen practical and technical know-how of future technology leaders and to widen the data-science ecosystem.

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