Benjamin 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.
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