Shenghao Sun developed foundational data ingestion and analytics features for the Causal-Copilot repository, focusing on enabling real-world dataset integration and user-driven query processing. Using Python and Pandas, Shenghao implemented robust file handling to support loading CSV and JSON data from file paths, including error management for unsupported formats. The work introduced a process to parse and execute user queries, filter data by parameters, and store results for downstream analysis. Over the course of a month, Shenghao established an end-to-end workflow that supports scalable analytics and reproducible experiments, demonstrating depth in data processing and workflow design without addressing bug fixes.