Cem developed a ValueCounter Aggregator and refactored the statistics computation framework for preprocessors in the dayshah/ray repository. By introducing a callback-based approach, Cem unified how statistics are collected across the data processing pipeline, reducing code duplication and improving maintainability. The work leveraged Python and focused on API design, data preprocessing, and statistical computation, laying the foundation for scalable analytics and future feature development. This engineering effort enhanced the reliability and scalability of analytics workflows by centralizing statistics logic, demonstrating thoughtful refactoring and a clear understanding of maintainable code structure within a complex data processing environment. No bugs were reported.