Ethinos Digital Marketing names Pavan Kumar as a Chief Data Officer


. Most recently, he served as AVP at ‘Teletext India Limited’, where he worked on building automated insights and ML data pipeline

Headquartered in Mumbai, end-to-end digital and performance marketing agency, Ethinos Digital Marketing (Ethinos) announced that it has named Pavan Kumar as its Chief Data Officer.

Real time analytics, digital strategy and consumer applications specialist Pavan Kumar brings in his decade long experience in analytics, ML/AI, automation and customer life cycle management, along with other expertise in tools, techniques, technology, and delivery processes. He is also an machine learning, deep neural networks and transfer learning enthusiast. Most recently, he served as AVP at ‘Teletext India Limited’, where he worked on building automated insights and ML data pipeline. Prior to this, he has worked on Real Time, omni-channel engagement automation tools with Decisive Analytical Systems as VP – Solutions.

As a Chief Data Officer he will oversee the data management strategy at Ethinos. He will align various initiatives and enable data analytics and data science capabilities across to support enforcement and policymaking, whilst also ensuring to support data management excellence to internal data, audits, evaluation and processing as a whole.

Brijesh Munyal, joint managing director, Ethinos Digital Marketing commented, “Data and analytics is the foundation to everything we do and plays a vital role for our success. We are incredibly exited to bring Pavan on board, he brings with him a wealth of experience and hands on expertise in implementing data strategies. He and our existing expert team together will enable us to transform perception of the ground through the convergence of data and technology.”

Pavan Kumar, chief data officer, Ethinos Digital Marketing commented, “I am delighted to be joining Ethinos at this exciting time for the company and internet economy. I am looking forward to use my expertise in data management, analytics, and ML/AI while also enhancing data security.”



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