
Maria Ladelacruz established the initial data analysis foundation for the AI-Artisans/bda_cs41s1 repository by setting up the Bank Marketing Data Project. She created a structured SQL artifact for the bank_marketing dataset and developed a CRISP-DM Excel artifact to guide subsequent data analysis and machine learning experimentation. Her work emphasized data engineering and database management, focusing on maintaining data integrity through targeted artifact cleanup and removal of obsolete files. By applying disciplined version control and clear commit practices, Maria ensured repository hygiene and traceability. The scope of work was foundational, addressing both the technical setup and ongoing governance of project data.

September 2025 monthly summary for AI-Artisans/bda_cs41s1: Focused on establishing a data-analysis baseline for marketing analytics and improving artifact governance. Delivered initial Bank Marketing Data Project setup with SQL artifacts and a CRISP-DM Excel artifact to guide data analysis and ML work; performed targeted cleanup of dataset-related artifacts to maintain data integrity and repository hygiene. Also removed obsolete Lab-Wk8 artifacts to reduce confusion and maintenance overhead.
September 2025 monthly summary for AI-Artisans/bda_cs41s1: Focused on establishing a data-analysis baseline for marketing analytics and improving artifact governance. Delivered initial Bank Marketing Data Project setup with SQL artifacts and a CRISP-DM Excel artifact to guide data analysis and ML work; performed targeted cleanup of dataset-related artifacts to maintain data integrity and repository hygiene. Also removed obsolete Lab-Wk8 artifacts to reduce confusion and maintenance overhead.
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