Edwin Thoen is a Data Team Lead with 11 years of experience building statistical and machine learning solutions across fintech and proptech, currently leading data efforts at Funda in The Hague. He combines an MSc in Statistics with hands-on skills in R, Python, SQL and Shiny to turn messy data into predictive models and clear visualizations. A contributor to the widely used tidymodels/recipes package and author of the R package padr, he focuses on robust feature engineering and preprocessing that improve model reliability in production. His background spans banking, consulting and healthcare research, including cum laude work on multi-state survival models, giving him a rare blend of applied statistics and product-focused delivery. Known for pragmatic engineering and attention to data-quality checks, he bridges technical depth with team leadership to drive actionable analytics.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Statistics, Master of Science (MSc), Statistics at Universiteit Leiden
Pipeable steps for feature engineering and data preprocessing to prepare for modeling
Role in this project:
Data Scientist
Contributions:32 commits, 18 PRs, 28 comments in 3 years 7 months
Contributions summary:Edwin primarily contributed to the development of checks and preprocessing steps within the `recipes` package, which focuses on feature engineering and data preparation for modeling. Their work includes implementing and testing checks for missing values, range consistency, and new values in datasets. They added functionality for cutting numeric variables and integrating these features, improving the data preparation workflow of the package.
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