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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

This project demonstrates customer segmentation using K-Means clustering, a popular machine learning technique. By analyzing customer data, we group customers into distinct segments to better understand their behaviors and preferences. This segmentation can help businesses tailor their marketing strategies and improve customer satisfaction.

  • Updated Jun 19, 2024
  • Jupyter Notebook

Diwali Sales Data Analysis is a Python project that analyzes Diwali season sales data to uncover insights on customer demographics, purchasing patterns, and regional performance using data cleaning, EDA, and visualization techniques.

  • Updated Mar 21, 2025
  • Jupyter Notebook

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