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E-Commerce Sales Performance & Insights Dashboard
In this project, I analyzed a sample e-commerce dataset to understand monthly revenue growth and top-performing product categories. I cleaned the dataset using Excel, handled missing values, and created a visual dashboard showing profit trends. Note: This is a self-directed portfolio project using a public dataset to demonstrate my data visualization skills.
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The multi-line shift chart earns its space by showing morning/evening/night as separate trends instead of one blended attendance number — that's the difference between "who's late today" and "which shift is actually understaffed." The KPI row above stays honest by not trying to say the same thing twice.
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A portfolio demonstration built with 288 deterministic synthetic sales records. The workbook separates raw data, monthly and regional summaries, KPI formulas, conditional formatting, and charts, with QA and disclosure notes. It is not client work or a client result. Built to demonstrate transparent Excel reporting and a maintainable handoff.
This sample demonstrates how I can take business data, organise and analyse it, and turn it into clear information that can support better business decisions.
The project includes data cleaning, spreadsheet analysis, KPI reporting, revenue and profit analysis, trend analysis and data visualisation.
The aim is to make business data easier to understand and highlight the areas that may require attention.
Work demonstrated:
Data cleaning and organisation
Spreadsheet analysis
KPI reporting
Revenue and profit analysis
Trend analysis
Data visualisation
Business insights
Note: All data used in this project is fictional and was created specifically for portfolio demonstration purposes. No client results are being claimed.
