Roel Bertens
Data & AI Tech Lead
Netherlands
Summary
👤
Senior🎓
Top SchoolRoel Bertens is a Data & AI Tech Lead with 10 years of experience building data products and scaling data teams across retail, banking and consumer goods clients such as Ahold Delhaize, ING and Heineken. He combines a PhD in Data Mining and an MSc in Computing Science with hands-on delivery of recommender systems, AML detection, feature catalogs and cost-optimised Databricks pipelines, consistently turning research-grade methods into production impact. At Xebia he focuses on creating measurable business value and repeatable platforms—examples include an in-house recommendation engine that replaced a paid service and a Feature Catalog that accelerated reuse across teams. Practical wins include a 10x speed-up in ING ingestion pipelines and a >30% reduction in cloud compute/storage at Sephora, reflecting his knack for performance and cost optimisation. Known for coaching and growing teams (from small squads to eight-person teams) he blends technical depth with pragmatic leadership and a track record of influencing strategic analytics goals.
10 years of coding experience
8 years of employment as a software developer
BSc and MSc, Computing Science, BSc and MSc, Computing Science at Universiteit UtrechtBSc, Computer Science, BSc, Computer Science at University of Florida
Dutch, English, German
Github Skills (34)
feature-engineering10
pandas9
dataframe9
python9
machine-learning9
etl-framework9
data-analysis9
orchestration8
mlops8
etl8
data-science8
catalog7
data-engineering7
llmops7
dag7
Programming languages (2)
Github contributions (5)
godatadriven/feature_catalog
Oct 2022 - Feb 2023
A package to define features and create them via a simple API
Contributions:4 reviews, 32 commits, 5 PRs in 3 months
catalogfeature-catalogue
roelbertens/anomaly_detection_robustness
Dec 2019 - Feb 2020
Contributions:13 commits, 10 pushes, 1 branch in 2 months
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