Anirban Nandi

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.

Council Post: From Promise to Peril: The Pros and Cons of Generative AI

Most people associate ‘Generative AI’ with some type of end-of-the-world scenario. In actuality, generative AI exists to facilitate your work rather than to replace it. Its applications are showing up more frequently in daily life. There is probably a method to incorporate generative AI into your work, regardless of whether you operate as a marketer, programmer, designer, or business owner.

Council Post: Careers for the future of AI

AI has the potential to solve some of the world’s biggest problems—from climate change to epidemics. This makes careers in AI not only innovative but also fulfilling and socially responsible. Even more so, in 2023, professionals in this field are likely to remain top priority because they offer a combination of high demand, high earning potential along with the chance to make a positive impact on the world.

Council Post: Data science and analytics applications to support SDG’s

Data is the foundation of accountability and the lifeblood of decision-making. If used responsibly, new data sources, technology, and analytical methods—such as satellite data—can enable more swift, effective, and evidence-based decision-making, as well as more accurately and fairly measure progress towards the Sustainable Development Goals (SDGs).

Council Post: Data Science and Analytics for environmental good

Data and AI are empirically required to bring about the changes our planet needs. For the benefit of our planet and the quality of life in the future, a collaboration between research organisations, businesses, industries, governments, and nonprofits across the globe must be established.

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