
Worked on the AI-Artisans/bda_cs41s1 repository to establish a foundational data-analysis environment for marketing analytics, focusing on both setup and governance. Developed the initial Bank Marketing Data Project by creating a structured SQL artifact and a CRISP-DM Excel guide to support data analysis and machine learning experimentation. Emphasized data integrity and repository hygiene by performing targeted deletions of outdated Lab-Wk8 artifacts, reducing maintenance overhead and confusion. Utilized SQL and data engineering skills to ensure clean, relevant datasets and maintained disciplined version control practices. The work balanced new feature delivery with careful artifact management, supporting ongoing data engineering and database management needs.
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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