📈 Excel dashboard project analyzing e-commerce sales performance with KPIs, charts, and slicers.
Power BI & SQL analysis of discount strategy, profitability, product pricing, customer segments, and regional performance.
📊 Power BI report analyzing live Flipkart grocery data to visualize discount trends, category-wise prices, and product updates from a customer perspective.
Revenue was high, but profit was suspiciously low. The business couldn't see which specific products or regions were eating up the margins.
Power BI dashboard analyzing 9,994 retail transactions: sales, profit margins, regional performance, and discount impact. Finds loss-making Furniture sub-categories and the Central region's discount-driven margin erosion.
Power BI data story on whether Superstore discounts drive growth or burn profit (2015–2018) — DAX, Power Query and Excel.
SQL-based analysis of smartphone sales data to extract insights on pricing, discounts, ratings, and features for business decision-making.
PChome product search, discount analysis and price comparison dashboard built with Python, Streamlit and Plotly.
This project analyzes retail footwear sales data from 2017 to 2024 to identify trends, optimize inventory, refine pricing strategies, and improve operational efficiency. By applying data cleaning, exploratory analysis, and forecasting, it provides actionable recommendations for seasonal demand planning, profitability, and product performance.
End-to-end sales analysis of a retail superstore dataset using Excel, covering data cleaning, EDA, business insights, customer segmentation (RFM), and dashboard visualization.
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