During November 2024, Shuo Sun developed foundational data ingestion and analytics features for the Causal-Copilot repository. Shuo implemented external dataset loading, enabling the system to process real-world data from file paths with support for CSV and JSON formats, including robust error handling for unsupported types. Leveraging Python and Pandas, Shuo also built a user query processing workflow that parses user-defined queries, applies parameter-based filtering, and stores results for downstream analysis. This work established an end-to-end pipeline for scalable analytics and reproducible experiments, demonstrating depth in data loading, file handling, and query-driven processing, though the focus remained on feature delivery over bug resolution.