I’m a Cambridge PhD Data Scientist working at the intersection of AI, sustainability, and geospatial intelligence to solve real-world environmental and social challenges. At the Skoll Centre for Social Entrepreneurship (University of Oxford), I build AI pipelines and decision-support tools to unlock actionable insights from complex data. This includes developing NLP workflows and chatbot solutions for corporate ESG and CSR reporting, analyzing climate risks in coastal megacities, and mapping drivers of social impact and business resilience. My academic journey spans an MPhil from Oxford and a PhD from Cambridge, where I pioneered machine learning applications to quantify deforestation and biodiversity loss in Southeast Asia. I combined satellite imagery, LIDAR, and ecological data to influence forest policy and conservation planning in Cambodia and the Philippines. Over the last decade, I’ve: Designed machine learning workflows to analyse global biodiversity risk. Created geospatial models to assess landcover and climate change impacts on agriculture and infrastructure (University of Cambridge, Imperial College London) Led NLP and AI-based research into corporate climate strategies and sustainable development trends (Imperial College London, Oxford University) Used R, Python, Google Earth Engine, and cloud platforms (AWS, GCP) to build scalable environmental models Developed computer vision solutions for canopy health, forest cover loss, and PDF/text extraction (Oxford University) Supported LLM and Langchain-based tools for ESG analysis and social impact tracking Advised governments, NGOs, and startups on integrating AI for nature-based solutions, climate adaptation, and risk financing Secured over £300,000 in funding as PI or co-PI, including the prestigious Imperial College Research Fellowship Supervised 25+ MSc dissertations (4 published), mentored PhD students, and delivered workshops at ODSC and Singapore Geospatial Festival I work across sectors—academia, policy, private and nonprofit —and enjoy translating deep technical insights into meaningful environmental outcomes. Research- https://scholar.google.com/citations? user=jyWeOkEAAAAJ&hl=en Github- https://github.com/Jojo666/openai-to-z-challenge If you're looking to leverage data science, AI, or geospatial analytics for climate resilience, biodiversity protection, or sustainability innovation—I’d be happy to connect