Anand S
Anand is a co-founder of Gramener, a data science company. He leads a team that automates insights from data and narrates these as visual data stories. He is recognized as one of India's top 10 data scientists, and is a regular TEDx speaker.
Anand is a gold medalist at IIM Bangalore and an alumnus of IIT Madras, London Business School, IBM, Infosys, Lehman Brothers, and BCG.
More importantly, he has hand-transcribed every Calvin & Hobbes strip ever and dreams of watching every film on the IMDb Top 250.
He blogs at https://s-anand.net. His talks are at https://bit.ly/anandtalks
Sessions
This talk explains how geospatial Python libraries can help us understand and predict Land Surface Temperature in urban areas using historical openly available satellite images and urban morphological data. This makes data science a powerful tool to plan and design urban areas while reducing the impact of urban warming.