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A comprehensive automated data processing pipeline designed to handle complex multinational retail data. I wrote modular, object-oriented Python scripts to replace manual data cleaning. The pipeline automatically imputes missing values, engineers new features (like Profit Margins and Shipping Durations), and generates an automated Exploratory Data Analysis (EDA) report using Matplotlib and Seaborn to track sales velocity.

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