Madhav Datt

Country representing

India

Languages

Hindi
English

Education

  • Indian Institute of Technology (IIT) Kharagpur; Harvard University
  • Computer Science

Current organisation

Green the Gene

Current role

Founder and President

Skills and Expertise

Data analysis
Fundraising
Project management
Social entrepreneurship
Software development

Areas of interest

Business
Environment
Sustainable Development

Website & Social Links

I am passionate about

Millions of people across the world live in a state of acute environmental crises caused by the lack of access to safe water resources and food insecurity, because of natural disasters, socio-economic conditions, wars and conflicts. While problems of this scale require robust policy initiatives from the top down, communities in crisis need immediate and ambitions bottom-up solutions. I strongly believe that climate change is the biggest challenge of my generation, and solutions can only be developed through multi-stakeholder partnerships between young leaders, innovative corporations and governmental bodies. I am deeply passionate about working at the intersection of applied AI and sustainability, and with Green the Gene, I am focused on developing simple, yet very data intensive, low-cost, and technologically innovative solutions tailored to address extremely specific safe water access and food security problems faced by communities across the world.

Actions

I founded Green the Gene as a small environmental club in school when I was 8 years old. Since then, we have scaled the organization to one of the world’s largest completely youth-run environmental non-profits, with projects in 62 countries. I have mobilized over 7000 people, all under the age of 24, to join me and volunteer to build tangible solutions for communities facing acute climate crises. I have initiated and led technology and data intensive projects to address very specific yet acute water accessibility problems faced by local communities. For example, developing extremely low cost (< $8 per unit), machine learning driven water filtration units, providing safe water access to over 40,000 people in rural Tanzania; recycling 3,000,000+ liters of swimming pool water annually in Haryana; planting over 1,500,000 trees in Gambia and 600,000 in India; developing compact box-gardening urban farms empowering 1,200+ people to start home based agricultural enterprises (towards food security) in water-scarce urban areas in Uganda; deploying 45,000 retrofitted stoves in Sierra Leone and India, that cost less than $5 to build, increase energy efficiency and lower harmful emissions. As a software engineering intern at Google, I developed machine learning algorithms for Nest thermostat energy demand response programs, to reduce energy used by home heating/cooling systems during peak energy demand times.