A professional financial reporting dashboard featuring revenue, operating expenses, net profit, profit margins, monthly trends, and quarterly summaries.
Built using an editable Excel workbook with formulas and charts.
Portfolio demonstration created with AI assistance using fictional financial data.
See exactly whatβs driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.
I developed an e-commerce growth intelligence system around one question:
Where should the business invest next?
Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.
So instead of building another dashboard full of charts, Iβm structuring the system around decisions.
It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:
which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.
The goal isnβt just to answer:
βWhat happened?β
Itβs to answer:
βWhat should we do next?β
Because the most useful analytics system isnβt the one with the most charts.
Itβs the one that makes the next business decision clearer.
Tags: E-Commerce Β· Marketing Analytics Β· Data Analytics Β· Power BI Β· E-commerce Management
Built an interactive e-commerce sales dashboard using SQL and Power BI to analyze revenue, profit, orders, product performance, customer performance, and monthly sales trends.
Key features:
Revenue and profit KPI tracking
Monthly revenue trend analysis
Category and product performance
Top customer analysis
Interactive Year, Month, Category, and City filters
Revenue summary and business insights Tools: SQL, Power BI, Data Analysis, Data Visualization