Created a Python reporting workflow that consolidates monthly sales files into a single structured dataset. The process validates records, removes duplicate order IDs, and automatically generates consolidated CSV data and monthly revenue summaries in JSON format, reducing repetitive manual processing.
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Developed a Python workflow to clean and standardize inconsistent customer records. The script normalizes names, email addresses, dates, and numeric values while identifying duplicates and invalid entries. The resulting dataset is structured consistently, with an audit log documenting excluded records.
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11
Built an Excel reporting dashboard that transforms order-level data into actionable sales metrics. The workbook calculates revenue, order counts, average order value, and monthly performance, with formula-driven summaries and visualizations that update as the underlying data changes.
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Diagnosed and corrected several calculation issues in an Excel pricing workbook, including division-by-zero errors, incorrect subtotal references, and broken lookup logic. Added validation checks to verify the corrected formulas and ensure consistent, accurate results.
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26