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 politics, and public policy - using machine learning to generate insights that matter.

• 🎓 Graduate in Data Science for Public Policy (Hertie School, Berlin)
• 💻 Experienced with Python, R, and basic web development (HTML/CSS/JavaScript)
• 🔬 Currently a Research Associate at the Centre for Sustainability, Hertie School, where I am working on a research project undertaking machine-learning-based systematic mapping of academic literature on climate politics
• 📊 MSc Thesis: “Forecasting Cycling Volume Measurements: A Cross-city Comparative Analysis Using Machine Learning and Deep Learning Techniques” → Bicycle Predictions Repo
• 🌍 Former Student Researcher with the Evidence for Climate Solutions team at Potsdam Institute for Climate Impact Research — conducted machine-learning-based meta-analysis on climate & health, and household energy consumption
• 📄 View my CV → here

Skills & Interests:
Machine Learning • Predictive Modelling • Causal Inference • NLP • 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.
📬 Reach me at: a.rai@hertie-school.org