César Núñez Huamán
Data Scientist
César Núñez Huamán joined Learning Collider in 2026 as a Data Scientist, where he works on projects at the intersection of technology and social impact, particularly in housing and workforce development. He brings over six years of experience working with large-scale public sector datasets across Latin America and South Asia.
César began his career as a policy analyst across consulting firms and nonprofits in Peru, working directly on implementing policies in innovation, housing, and public infrastructure. He then became a Senior Data Analyst at Videnza Consultores, where he led quantitative analysis for the country's Urban Poverty Reduction Strategy and managed data collection and impact evaluation for a procurement intervention across 140 public health facilities. He later worked as a Data Engineer and Data Science Intern at the Data, Policy and Innovation Centre in Odisha, India, building an NLP pipeline to triage more than a million citizen complaints for government decision-makers. César holds a Master of Science in Computational Analysis and Public Policy from the University of Chicago, where his capstone research used a multi-agent LLM debate architecture to classify social conflict dynamics from government records in Peru.
Outside of his day-to-day work, César stays closely connected to Peru: he built OpenPeru, a civic tech project consolidating fragmented legislative data into a structured, queryable dataset and empowering users by using LLMs and AI to explore and interpret legislative behavior in plain language. He's also an avid runner — with his eye on running the Chicago Marathon for the first time — and loves exploring new restaurants, bars, and coffee shops around the city.
