
During two months on the Yihe-Harry/DSA3101-Group-Project repository, the developer established a maintainable data analysis foundation by structuring the A2_Sherry project, initializing and cleaning datasets, and introducing exploratory data analysis artifacts. Using Python, Pandas, and R, they created scripts and notebooks to analyze correlations in marketing datasets, while removing outdated files to streamline the workflow. Their work emphasized clear documentation, updating READMEs to detail objectives, methodology, and customer engagement findings. By refining engagement metrics and standardizing tracking approaches, the developer improved traceability and onboarding, laying groundwork for data-driven marketing decisions and long-term maintainability of engagement analytics.

April 2025 monthly summary for Yihe-Harry/DSA3101-Group-Project. Focused on documenting and clarifying customer engagement findings to improve measurement, traceability, and business decisions related to the a2_customer_engagement model and the a2 assignment. The work establishes a solid foundation for data-driven marketing decisions and long-term maintainability of engagement analytics.
April 2025 monthly summary for Yihe-Harry/DSA3101-Group-Project. Focused on documenting and clarifying customer engagement findings to improve measurement, traceability, and business decisions related to the a2_customer_engagement model and the a2 assignment. The work establishes a solid foundation for data-driven marketing decisions and long-term maintainability of engagement analytics.
March 2025 monthly summary for Yihe-Harry/DSA3101-Group-Project. Focused on establishing a clean project foundation, initializing datasets for A2_Sherry analysis, introducing preliminary EDA artifacts, and strengthening documentation.
March 2025 monthly summary for Yihe-Harry/DSA3101-Group-Project. Focused on establishing a clean project foundation, initializing datasets for A2_Sherry analysis, introducing preliminary EDA artifacts, and strengthening documentation.
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