India’s Data Centre Boom Is Running Into a Talent Wall
With capacity expected to more than double this decade, the industry is investing in training as graduates struggle to meet
- Published on July 5, 2022
- In AI Features
Council Post: Leveraging data science and analytics for social good
There is a need to create awareness among a new generation of data scientists, which can further help in supporting non-profits and developing data science tools to benefit people all over the world positively.
- By Anirban Nandi
In our previous article, we discussed the role of data science and analytics in achieving sustainability goals. Further, we also looked at each of the verticals, including economic, social, and environmental, that constitutes the UN's 17 sustainable development goals with examples.
In this article, we will focus on social challenges and see how data science and analytics can come to the rescue.
Hopefully, this article will guide people, companies, and government bodies to make the world a better, healthier, and safer place using advanced analytics.
A glimpse into sustainable development goals for 2030, particularly for solving global social concerns.
Data for social good
Data plays a very important role when we are using analytics to solve social
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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.
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