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CSV quality audit — portfolio demonstration using synthetic data. Python checks flagged one exact duplicate and two missing required values across four records. The output includes counts and record references while preserving the source file. Scope: UTF-8 CSV with unique headers, exact duplicates, and specified required columns. AI-assisted preparation; no client project or earnings claimed.
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📊 Interactive Sales Analytics Dashboard in Excel
I created an interactive Excel dashboard to analyze sales performance across different business dimensions.
Key Insights & Features:
• Total Orders, Sales & Profit KPIs
• Sales & Profit by Region
• Sales by City
• Category-wise Sales, Profit & Profit %
• Weekly Sales Analysis
• Interactive Slicers for Week, Category & Region
• Start Date & End Date tracking
• PivotTable-based analysis
This dashboard is designed to turn raw sales data into clear and actionable business insights using Excel.
Hello.
I guess we're in the same page about data analysis and visualization
CSV reconciliation — synthetic portfolio demonstration. Two three-row inventory exports were compared by SKU: two matched records, one quantity change from 4 to 6, one removed record and one added record. Blank or duplicate keys are rejected rather than guessed. Executed locally with Python. AI-assisted preparation; no client project or earnings claimed.
A product-feed audit demo built to catch catalog errors before an import. The Python checker compares two CSV exports and reports duplicate IDs, price differences, stock mismatches and cases that need manual review.
This sample uses synthetic data: 12 feed records, 9 reference records, 9 error findings and 7 unresolved findings. The checks have 13 passing tests. It is a demonstration of the workflow, not a client result or a live-store audit.
