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pivottables

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Shopper-Spectrum_-Segmentation-and-Recomm

Shopper Spectrum: Streamlit app for customer segmentation (RFM + KMeans) and product recommendations (collaborative filtering) using e-commerce data.

  • Updated Jul 27, 2025
  • HTML

Performed E-commerce Sales Analysis to identify trends, optimize sales, and improve decision-making. Analyzed customer patterns, seasonal trends, and product performance using Python, SQL, and Power BI. Delivered actionable insights to enhance revenue, streamline inventory management, and boost customer engagement.

  • Updated Dec 28, 2024

Developed an interactive Excel dashboard to analyze global coffee shop sales across multiple regions. Leveraged Power Query for data transformation and Power Pivot for calculating key KPIs including sales, profit, and margin metrics. Designed a visually compelling dashboard with slicers, gradient formatting, and dynamic pivot charts.

  • Updated Jun 14, 2025

Conducted a comprehensive sales analysis for retail store “Vrinda” using MS Excel, including revenue breakdown by product, regional performance, and customer segment trends. Developed dynamic dashboard to highlight under-performing categories, seasonal shifts, and actionable recommendations for inventory optimization and promotional planning.

  • Updated Nov 9, 2025

Analyzed multi-store coffee shop sales data using Excel to identify key trends in revenue, orders, and product performance. Created interactive dashboard highlighting peak sales periods, top-selling items, and location-wise performance, providing actionable insights to improve business operations and marketing strategies.

  • Updated Nov 8, 2025

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