
Contributed to the H6WU6R/DSA3101-Group-4 repository by developing a Marketing Campaign KPI Analysis Toolkit and delivering campaign impact analysis assets over a two-month period. Built end-to-end workflows in Python and Jupyter Notebooks, applying data analysis, visualization, and logistic regression to quantify KPI effects on customer conversions. Enhanced project maintainability through structure cleanup and deprecated notebook removal, and improved asset governance with organized visualizations and comprehensive documentation. Delivered reproducible reports and data assets, supporting data-driven decision-making for marketing analytics. Utilized libraries such as Pandas and Scikit-learn, demonstrating strong skills in statistical testing, report generation, and customer segmentation within collaborative data science projects.
April 2025: Delivered visualization assets, campaign impact reports, and data assets for H6WU6R/DSA3101-Group-4. Improved asset governance and documentation to support data-driven decision-making. No major bugs recorded in scope; focus on feature delivery and knowledge transfer.
April 2025: Delivered visualization assets, campaign impact reports, and data assets for H6WU6R/DSA3101-Group-4. Improved asset governance and documentation to support data-driven decision-making. No major bugs recorded in scope; focus on feature delivery and knowledge transfer.
March 2025 monthly summary for H6WU6R/DSA3101-Group-4: Delivered a Marketing Campaign KPI Analysis Toolkit and completed a project structure cleanup, delivering measurable business value and improved maintainability.
March 2025 monthly summary for H6WU6R/DSA3101-Group-4: Delivered a Marketing Campaign KPI Analysis Toolkit and completed a project structure cleanup, delivering measurable business value and improved maintainability.

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