Fictional demonstration project.
A structured Excel comparison of supplier price lists designed to identify price differences and highlight potential purchasing opportunities without making automatic sourcing decisions.
This sample demonstrates how I can:
match products by SKU
compare current and alternative supplier prices
calculate potential savings
flag material price differences for review
distinguish savings from price increases
preserve a traceable comparison
leave commercial and quality decisions to human review
The project uses synthetic data only and was created as a portfolio demonstration.
Best suited for supplier price lists, purchasing comparisons, product catalogs and small procurement datasets that need a clear exception-based review.
0
11
Fictional demonstration project.
An Excel inventory variance audit designed to compare system quantities with physical stock counts and turn discrepancies into a prioritized review list.
This sample demonstrates how I can:
compare ERP quantities with physical inventory counts
calculate quantity variances automatically
quantify the financial value of each discrepancy
prioritize exceptions by material impact
identify records that require investigation
preserve the original source data
avoid making automatic stock adjustments without human approval
The project uses synthetic data only and was created as a portfolio demonstration.
Best suited for inventory exports, warehouse checks, stock reconciliations and small operational datasets where discrepancies need to be identified and reviewed quickly.
0
8
Fictional demonstration project.
A practical Excel data-cleaning workflow for turning a messy product list into a consistent, review-ready catalog.
This sample demonstrates how I can:
standardize SKUs and product names
normalize categories and status values
clean inconsistent spacing and capitalization
standardize numeric and price formats
identify and remove exact duplicates
preserve ambiguous values for review rather than guessing
maintain a clear change log of the cleanup performed
The project uses synthetic data only and was created as a portfolio demonstration.
Best suited for small product catalogs, supplier lists, inventory exports, ecommerce data and spreadsheet cleanup tasks where traceability matters.
0
11
Fictional demonstration project.
A simple Excel reconciliation workflow designed to compare two authorized files and identify discrepancies in SKUs, quantities, and prices.
The sample shows how I structure a traceable review process:
compare matching SKUs across two files
flag quantity and price differences
identify missing records
preserve the original data
avoid guessing or silently changing ambiguous values
provide a clear exception report for review
This project uses synthetic data only and was created as a portfolio demonstration of my Excel/CSV cleanup and reconciliation workflow.
Best suited for small product lists, inventory exports, supplier price lists, and other structured spreadsheet comparisons.
0
14