Over a two-month period, this developer contributed targeted improvements to open-source data processing projects, focusing on both documentation and performance optimization. For the pola-rs/polars repository, they streamlined the GPU installation process for CUDA 12 by updating Python package management instructions, reducing setup complexity and potential user errors. In the mhaseeb123/cudf repository, they delivered a performance optimization for the TPC-DS Q50 benchmark, refining query planning with explicit join ordering, early date filtering, and semi-join paths. Their work leveraged Python, GPU programming, and data processing expertise, resulting in measurable multi-GPU speedups and more maintainable, scalable code for future enhancements.