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Problem
Europ Assistance is an international assistance and insurance company supporting individuals and businesses worldwide. For years, their modeling setup relied on Python and R, resulting in time-consuming processes and rigid workflows. Working with large datasets made model execution and iteration lengthy and resource-intensive. In addition, every change to the dataset, such as adding or modifying variables, required manual code updates, leading to inflexible and error-prone processes.



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