Marketing-Campaign-Data-Cleaning-Standardization-Pipeline

This project demonstrates an end-to-end Python data cleaning and ETL pipeline applied to raw, un-sanitized marketing campaign data. The primary objective is to transform inconsistent financial, temporal, and categorical variables into a reliable, structured dataset ready for downstream analytics and business intelligence dashboards.