📈 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.
PChome product search, discount analysis and price comparison dashboard built with Python, Streamlit and Plotly.
📊 Power BI report analyzing live Flipkart grocery data to visualize discount trends, category-wise prices, and product updates from a customer perspective.
SQL-based analysis of smartphone sales data to extract insights on pricing, discounts, ratings, and features for business decision-making.
Revenue was high, but profit was suspiciously low. The business couldn't see which specific products or regions were eating up the margins.
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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