Benjamin Klepper
Data Engineer
Germany
Summary
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RockstarBenjamin Klepper is a Data Engineer with nine years’ experience building end-to-end data solutions across insurance and automotive industries. Grounded in mathematics, statistics and machine learning, he designs scalable data pipelines, Python tooling and optimizes computation and storage on large enterprise platforms. At AGCS he transitioned from building models and ML-driven applications to owning the technical product for a major data platform migration, balancing stakeholder requirements with hands-on engineering. His background includes creating Bayesian personalization models at BMW and deploying containerized full-stack ML applications using Angular, Django REST and Kubernetes. Benjamin often pairs production-focused engineering with statistical rigor, enabling reproducible, auditable analytics in regulated environments. Based in Germany, he brings a practical blend of data science, platform engineering and product ownership to complex data transformations.
9 years of coding experience
5 years of employment as a software developer
Github Skills (42)
multilabel-classification10
r-package10
classification10
feature-selection10
survival-analysis10
mlr10
interpretable-machine-learning10
tidymodels10
regression10
mixed-models10
r-language10
variable-selection10
meta-analysis10
predictive-modeling10
cross-validation10
Programming languages (4)
Github contributions (5)
bklppr/bklppr.github.io
Apr 2020 - Oct 2024
Contributions:26 pushes in 4 years 7 months
bklppr/mlr
May 2017 - Feb 2018
Contributions:14 pushes, 7 branches in 10 months
machine-learningmlrdata-science
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