Erik-jan Van Kesteren
Data Scientist Statistician
Randstad, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolErik-jan Van Kesteren is a data scientist and statistician with a decade of experience applying causal inference, Bayesian methods, and measurement science to real-world problems in advertising, pricing, and social research. Currently at bol he focuses on ranking and pricing for online ads, drawing on a strong academic background as an assistant professor who founded and led the ODISSEI Social Data Science team. His work spans multilevel GLMs, uncertainty propagation, privacy-preserving methods and synthetic data, and he has hands-on experience shipping statistical software—contributing substantive SEM and CFA improvements to the widely used JASP project. Comfortable bridging research, engineering, and strategy, he’s led teams, secured funding, and delivered training for social scientists on scalable computing workflows. Notably, he combines rigorous PhD-level methodology with product-oriented experimentation, making complex causal tools operational in industry settings.
10 years of coding experience
10 years of employment as a software developer
Gymnasium, NT Profile (Science) + German & Economics, Gymnasium, NT Profile (Science) + German & Economics at Walburg College ZwijndrechtDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Utrecht UniversityLondon School of Economics and Political ScienceBA Social Science (Psychology & Economics), BA Social Science (Psychology & Economics) at University College Utrecht
Github Skills (6)
jasmine10
statistical-models10
r10
statistics9
ggplot7
open-source5
Programming languages (14)
Github contributions (5)
jasp-stats/jasp-desktop
May 2018 - Mar 2020
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
Role in this project:
Back-end Developer
Back-end DeveloperContributions:53 commits, 107 PRs, 12 pushes in 1 year 10 months
Contributions summary:Erik-jan's commits primarily focus on updating and improving the SEM (Structural Equation Modeling) module within the JASP-desktop repository. This involves implementing features and functionalities related to the CFA (Confirmatory Factor Analysis) and mediation analysis, like R-squared calculation and enhancements for CFA plots. They also addressed bug fixes and made improvements to existing data output features. These contributions improve the statistical analysis capabilities within the JASP software.
bayesianspssjaspstatisticsfreesoftware
matiassingers/whatsapp-log-parser
Feb 2018 - Aug 2024
parse WhatsApp log files
Contributions:2 PRs, 3 comments in 6 years 7 months
logfilewhatsapp
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