Saurav Adhikari is a data analyst with a strong foundation in computer science and advanced training in data science, specializing in natural language processing and machine learning. He supports evidence-based research and policy work through rigorous data analysis and clear, impactful visualizations.

At APRI, Saurav analyzes and maps economic, political, and social policy data to generate actionable insights for publications and decision-makers. His work includes developing interactive data visualizations, automating reproducible reporting pipelines, and creating data-driven mappings that enhance the feasibility and clarity of policy analysis and reporting. He has also held data-focused roles in technology and research organizations, where he contributed to workflow automation, statistical analysis, and applied machine learning.

Saurav is currently completing his M.Sc. in Data Science at Universität Trier, with academic and research interests spanning NLP, machine learning, and the integration of large language models with structured data. He also holds a Bachelor’s degree in Computer Science. He combines strong technical expertise with clear communication, enabling him to translate complex data into practical insights for both technical and non-technical audiences.