Alex Lambert is a data engineer based in Belgium with 9 years of experience bridging machine learning research and production data systems. After a PhD-focused career on kernel methods for predicting functional outputs and a research post at KU Leuven, he now applies that deep statistical and ML expertise to building reliable data infrastructure at Dataminded. Trained at Telecom ParisTech and École Polytechnique in applied mathematics and data science, he combines theoretical rigor with pragmatic engineering to operationalize complex models. Colleagues value his ability to translate advanced research into production-ready pipelines and scalable ETL solutions. An understated strength is his background in functional-output prediction, which informs creative approaches to feature engineering and model evaluation in real-world data products.
9 years of coding experience
4 years of employment as a software developer
Master 2 (M2), Data Science, Master 2 (M2), Data Science at École Polytechnique
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