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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.
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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 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.
Excel PivotTable — Sales Summary
Client had raw sales data (14 rows across UK/USA, split by quarter) and needed it turned into something actually usable. I cleaned it up and built a PivotTable that breaks total sales down by rep and country, with grand totals for both.
What I did:
Structured the raw data into a proper table (consistent headers, currency formatting)
Built a PivotTable summarizing Sum of Sales by Last Name and Country
Used SUMIFS so the totals update automatically if the source data changes — nothing hardcoded
Checked every formula for errors before delivery
Delivered as a working .xlsx file, ready to plug into a bigger report or dashboard.
If you've got messy sales/ops data sitting in a spreadsheet and need it turned into something you can actually read at a glance, this is exactly the kind of thing I can help with.
