Customer Segmentation
-
Updated
May 5, 2025 - Jupyter Notebook
Customer Segmentation
📦 Sales & Logistics Optimization: Analyzed sales, returns, and shipping costs to enhance profitability and operational efficiency. Identified trends, minimized losses, and optimized pricing strategies using Excel (Pivot Tables, Dashboards)
The Data Science internship at InternSavy is designed to provide hands-on experience with key data analysis tools and methodologies. Throughout the internship, you completed four tasks, each focusing on different aspects of data analytics. These tasks likely included data collection, processing, analysis, and visualization.
A comprehensive data analysis project using SQL, Power BI, and DAX to analyze and visualize credit card transactions and customer behavior. This repository contains the dataset, DAX queries, and Power BI dashboards to explore insights such as revenue generation, transaction trends, and customer segmentation based on age groups.
Add a description, image, and links to the customersegmentationanalysis topic page so that developers can more easily learn about it.
To associate your repository with the customersegmentationanalysis topic, visit your repo's landing page and select "manage topics."