Josep Reig is a Data and Knowledge Scientist with nine years of experience building reproducible data workflows, harmonisation pipelines, and statistical estimations for cross-national research. He has applied his strong statistical grounding and multi-language coding skills (Python, R, SQL, Linux) at organisations including the OECD, LIS and NatCen, where he designed survey samples and evaluated policy impacts with experimental and quasi-experimental methods. Based in Paris, he blends survey methodology training with hands-on data engineering to make large, complex socio-economic datasets analysis-ready. Colleagues know him as a “data geek” who cares about reproducible statistical computing and enjoys collaborating with researchers and statisticians to turn messy data into transparent evidence.
9 years of coding experience
8 years of employment as a software developer
Barcelona Summer School in Survey Methodology
Exchange student, Political Science, Exchange student, Political Science at University of Toronto
MSc in Social Policy Analysis, Social Policy, MSc in Social Policy Analysis, Social Policy at Katholieke Universiteit Leuven
Bachelor's degree, Political Science and Government, Bachelor's degree, Political Science and Government at Universitat Pompeu Fabra
Survey Methodology, Survey Methodology at GESIS Summer School in Survey Methodology
This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK.
Contributions:17 commits, 11 pushes, 2 branches in 1 year 1 month
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