14–17 Oct 2019

Soumya Ranjan
Data Scientist, Gramener

Soumya Ranjan is a data scientist at Gramener AI Labs specializing in using deep learning and machine learning techniques to solve problems across verticals like healthcare, environment conservation, and safety. He’s passionate about data and adores narrating beautiful stories around it, thanks to his experience in building data visualization tools and libraries covering real-time election analysis and visualization. Soumya strongly believes in making quality education free and accessible. To this end, he teaches at universities, is involved in discussing AI/ML curriculum, and has worked as a code reviewer and mentor at Udacity and Thinkful.

Sessions

11:55–12:35 Thursday, 17 October 2019

Location: King's Suite - Balmoral

Predicting the quality of life from satellite imagery

AI Business Summit, Impact of AI on Business and Society

Secondary topics: Computer Vision, Deep Learning, Health and Medicine, Machine Learning, Temporal data and time-series

Ganes Kesari (Gramener), Soumya Ranjan (Gramener)

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In many countries, policy decisions are disconnected from data, and very few avenues exist to understand deeper demographic and socioeconomic insights. Ganes Kesari and Soumya Ranjan explain how satellite imagery can be a powerful aid when viewed through the lens of deep learning. When combined with conventional data, it can help answer important questions and show inconsistencies in survey data. Read more.