Ezequiel Smucler
Director Of Recommendations And Martech
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolEzequiel Smucler is a product-focused leader in recommendations and MarTech, currently directing end-to-end data and ML solutions at Delivery Hero after leading large ML and data organizations at Glovo. With a PhD in Mathematics and a decade of industry experience, he combines deep theoretical expertise—20+ papers in statistics, causal inference and ML—with practical impact, having built order-assignment, forecasting and fraud-detection systems that drive millions in savings and revenue. He has academic pedigree from Berkeley, UBC and Harvard visits and has translated that research into production-ready algorithms and experimentation platforms. An active contributor to statsmodels, he has implemented robust estimators like IQR and Qn, reflecting a strong grounding in robust statistics and reproducible code. Based in Barcelona, he blends rigorous statistical thinking with hands-on engineering leadership across cross-functional teams.
10 years of coding experience
7 years of employment as a software developer
Combinatorics, Mathematics, Combinatorics, Mathematics at Instituto de Matematica Pura e AplicadaPh.D in Mathematics, Mathematics, Ph.D in Mathematics, Mathematics at University of Buenos Aires
English, Spanish, Portuguese
Github Skills (9)
statistics10
regression-models10
python10
numpy10
data-analysis10
testing9
econometrics8
forecasting7
forecast7
Programming languages (3)
Github contributions (5)
statsmodels/statsmodels
Aug 2020 - Oct 2020
Statsmodels: statistical modeling and econometrics in Python
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 21 commits, 5 PRs in 2 months
Contributions summary:Ezequiel primarily contributed to the implementation and testing of statistical functions within the `statsmodels` library. They added the Interquartile Range (IQR) and Qn estimators, including their implementation, testing, and documentation, demonstrating expertise in robust statistics and statistical modeling. Their work involved modifying existing code, adding tests, and incorporating these estimators into documentation and examples. They also addressed code style issues to improve the overall quality of the code.
forecastingpythonregression-modelsstatsmodelsstatistics
esmucler/gdpc
Jul 2016 - Oct 2022
Contributions:140 commits, 109 pushes, 1 branch in 6 years 4 months
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