Hi there,
I’m Aditya Narayan Rai, a Data Science for Public Policy graduate from the Hertie School, Berlin.
I work at the intersection of data science, climate, and public policy - using machine learning to generate insights that matter.
- 🎓 MSc in Data Science for Public Policy (Hertie School, Berlin) - July 2025
- 💻 Experienced with Python, R, and basic web development (HTML/CSS/JavaScript)
- 📊 MSc Thesis: “Forecasting Cycling Volume Measurements: A Cross-city Comparative Analysis Using Machine Learning and Deep Learning Techniques” → Bicycle Predictions Repo
- 💼 Currently working as a Scientist with the Evidence for Climate Solutions group at Potsdam Institute at Climate Impact Research, Berlin contributing to machine learning based systematic reviews at the intersection of health, climate change, and behavioural sciences
- 🌍 Previously a Research Associate at the Centre for Sustainability, Hertie School, where I worked on a research project undertaking machine-learning-based systematic mapping of academic literature on climate politics. Also worked as a Student Researcher with the Evidence for Climate Solutions team at Potsdam Institute for Climate Impact Research - supporting machine-learning-based meta-analysis on climate & health, and household energy consumption
- 📄 View my CV → here
Skills & Interests:
Machine Learning • Causal Inference • Natural Language Processing • Climate Data • Policy Research • Project & Stakeholder Management
🚀 I’m looking for opportunities to collaborate on applied machine learning and data science research projects - especially those with impact in climate, sustainability, or public policy in general.
📬 Reach me at: adityara@pik-potsdam.de

