Anirban Nandi
With close to 15 years of professional experience, Anirban specialises in Data Sciences, Business Analytics, and Data Engineering, spanning various verticals of online and offline Retail and building analytics teams from the ground up. Following his Masters from JNU in Economics, Anirban started his career at Target and spent more than eight years developing in-house products like Customer Personalisation, Recommendation Systems and Search Engine Classifiers. Post Target, Anirban became one of the founding members at Data Labs (Landmark Group) and spent more than 4.5 years building the onshore and offshore team of ~100 members working on Assortment, Inventory, Pricing, Marketing, eCommerce and Customer analytics solutions. Currently, Anirban is associated with Rakuten India as the Head of Business Analytics developing analytics solutions for the Rakuten global ecosystem across different domains of  Commerce, FinTech, Telecommunication, etc., and building a high-performing team comprising of Data Scientists, Data Engineers, Data Analytics and Product/Program Managers in the Bangalore office. On the personal side, Anirban loves sports and is a big follower of soccer/football (Argentina and Manchester United are his favourite teams). LinkedIn
With close to 15 years of professional experience, Anirban specialises in Data Sciences, Business Analytics, and Data Engineering, spanning various verticals of online and offline Retail and building analytics teams from the ground up.  Following his Masters from JNU in Economics, Anirban started his career at Target and spent more than eight years developing in-house […]
Anirban is associated with Rakuten India as the Head of Business Analytics developing analytics solutions for the Rakuten global ecosystem across different domains.
["Interviews and Discussions", "Rakuten"]
["data science", "programming_languages:R", "AI", "Rakuten", "recommendation systems", "data engineering", "ai_applications:recommendation systems", "analytics", "R", "Interviews and Discussions"]
["AI", "data science", "analytics", "recommendation systems", "R", "data engineering", "programming_languages:R", "ai_applications:recommendation systems"]
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