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📊 Turning Raw Retail Data Into Business Insights
I recently worked on a retail sales dataset to demonstrate how raw business data can be transformed into useful insights.
My process included:
✅ Data cleaning and validation
✅ Revenue calculations
✅ Sales performance analysis
✅ Product and store analysis
✅ Excel/Power BI visualization
✅ Identifying actionable business insights
The analysis answers questions such as:
• Which store generates the most revenue?
• Which products drive sales?
• Which products sell the most units?
• Which salesperson performs best?
• How do sales change over time?
Tools: Excel | Power BI | Python/Pandas | SQL
Clean data is the foundation. Good analysis turns that data into decisions.
#DataAnalysis #DataCleaning #Excel #PowerBI #Python #SQL #DataAnalytics #Freelance
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I work on Excel data analysis, data cleaning, interactive dashboards, Pivot Tables, and business reports. I turn raw data into clear, actionable insights that help businesses make smarter decisions.
I can create a professional sample excel business report/dashboard for you that includes
* Monthly sales analysis
* Revenue and profit
* Product performance
* Regional sales
* Monthly trend chart
Hi, I’m Ameya 👋
I’m a Procurement & Operations professional who combines procurement expertise, data analytics, and technology to help businesses work smarter.
I specialize in strategic sourcing, vendor management, procurement operations, SAP MM, process improvement, data analysis, and reporting.
I enjoy turning complex processes into simple, efficient, and data-driven workflows — whether it’s improving procurement processes, building reports, managing vendors, or automating repetitive tasks.
🚀 Open to freelance, remote, and project-based opportunities.
Let’s build something efficient together.
This project is an interactive Power BI dashboard developed to analyze sales performance, profitability, customer segments, and regional trends.
Key Metrics
Total Sales: $2.30M
Total Profit: $286.40K
Total Quantity Sold: 38K+
Key Insights
West region generated the highest sales and profit.
Consumer segment contributed the highest revenue and profit.
Technology category showed strong business performance.
Tools Used
Power BI
Data Visualization
Business Analytics
KPI Reporting
Skills Demonstrated
Dashboard Design
Data Storytelling
Business Intelligence
KPI Analysis
Data Analytics
