Summary
Minerva Singh is a Cambridge-educated data scientist and PhD candidate with 11 years’ experience applying AI, machine learning, and geospatial methods to climate, biodiversity, and sustainability challenges. She has translated satellite, LiDAR, and ecological data into policy-impacting insights across Southeast Asia, advised governments and multilateral agencies, and secured over £300k in research funding. At Oxford’s Skoll Centre she built NLP pipelines and LangChain-based tools to automate ESG analysis and map corporate behaviors that drive social impact, and previously led nature-based solutions research at Imperial College. Equally at home in R, Python, Google Earth Engine, AWS and GCP, she combines rigorous academic publishing with practical decision-support systems and a large public teaching footprint—over 140,000 Udemy learners—bridging technical depth with scalable knowledge transfer. An interdisciplinary problem-solver, she specializes in turning complex environmental data into actionable intelligence for policy, finance, and social entrepreneurship.
11 years of coding experience
1 year of employment as a software developer
Master of Philosophy - MPhil, Environmental Science, 2:1, Master of Philosophy - MPhil, Environmental Science, 2:1 at University of Oxford
Doctor of Philosophy - PhD, Geospatial Data Science, Passed, Doctor of Philosophy - PhD, Geospatial Data Science, Passed at University of Cambridge
English, Hindi, Punjabi, Malay