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customer-insights

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This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics

  • Updated Feb 14, 2021
  • Jupyter Notebook

Exploratory Data Analysis (EDA) on Bengaluru restaurant data to uncover insights into ratings, cuisines, cost, location, and dining trends. Built using Python, Pandas, Seaborn, and Matplotlib to understand customer behavior and food business patterns.

  • Updated Jul 8, 2025
  • Jupyter Notebook

Business consulting plugin for Claude — 16 skills, 24 commands, 5 industry overlays. Market research, competitive analysis, financial modeling, strategy frameworks, pricing, M&A, digital transformation, risk, talent, and more.

  • Updated Feb 28, 2026

This repository features the Retail sales and customer insights dashboard demonstrating data cleaning and analysis using Excel, Python, and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product trends. A complete end-to-end data analytics workflow

  • Updated May 6, 2025
  • Jupyter Notebook

A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.

  • Updated Sep 6, 2025

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