News: Debdoot Mukherjee joins Meesho as chief data scientist, to lead its 30-member AI team

C-Suite

Debdoot Mukherjee joins Meesho as chief data scientist, to lead its 30-member AI team

Previously, Mukherjee held multiple leadership roles at companies like ShareChat, Hike and Myntra.
Debdoot Mukherjee joins Meesho as chief data scientist, to lead its 30-member AI team

Ecommerce company Meesho has announced the appointment of Debdoot Mukherjee as chief data scientist. 

Mukherjee will oversee the company’s efforts to make every pillar of the e-commerce marketplace smarter and more efficient with the use of AI. He will lead the current 30 member strong AI team at Meesho and strengthen it by three times by the end of the year. 

Mukherjee joins Meesho with over 14 years of experience in developing large scale recommender systems, under his belt. Previously, he held multiple leadership roles at companies like ShareChat, Hike and Myntra. Under Mukherjee’s leadership, his team at ShareChat and Moj created a state of the art feed ranking system and developed AI models that significantly improved user retention and engagement. He is a double gold medalist from Indian Institute of Technology (IIT), Delhi.

“I am delighted to welcome Debdoot as the Head of Meesho’s highly energetic AI team. His leadership and deep understanding of the field will help us meet the growing demands of our users, drive innovation and accelerate our sellers’ success,” said Sanjeev Barnwal, founder and CTO, Meesho.

“I join Meesho feeling deeply connected with their mission of democratizing internet commerce for everyone in India. AI can play a central role in creating an efficient and healthy marketplace, which is trusted and loved by the customers and also ensures fairness and growth to all the sellers. I believe my past experiences will further help in building a world class AI team and machinery to deliver on Meesho’s bold ambition of building a single shopping destination for the next billion users in India,” said Mukherjee.

Meesho leverages artificial intelligence and machine learning to build effective recommendation algorithms and optimise logistics for over 5 lakh sellers on the platform. Machine learning models help fuel discoverability of a massive catalog of products through personalised storefronts and ensure smooth delivery of orders, thereby enhancing customer experience. 

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Topics: C-Suite, Appointments

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