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.
Built a pricing trend and variance analysis using synthetic business data to demonstrate my approach to data validation, trend analysis, anomaly review, and KPI reporting.
I analyzed month-over-month pricing changes, flagged unusual movements, compared performance across industries, and summarized the results in a clear Excel dashboard designed to support business review and decision-making.
Tools used: Excel, data validation, variance analysis, KPI reporting, and data visualization.
This is a self-directed portfolio project created to demonstrate an end-to-end analytical workflow.