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Shipped: Customer Segmentation Analysis — Understanding Customer Behavior with Data
Part of build log: Customer Segmentation Analysis → Data Collection → Data Cleaning → EDA → CustomeI built a Customer Segmentation Analysis project to understand customer behavior and identify meaningful customer groups from transactional data.
The project focuses on analyzing purchasing patterns and using data-driven segmentation to understand different types of customers.
🔍 What I worked on:
Data cleaning and preprocessing
Exploratory data analysis
Customer behavior analysis
Customer segmentation
Data visualization
Identifying patterns and differences between customer groups
📊 Why it matters:
Customer segmentation can help businesses understand their customers better, create targeted marketing strategies, improve customer retention, and make better data-driven decisions.
🛠️ Tech Stack:
Python • Pandas • NumPy • Matplotlib • Seaborn • Jupyter Notebook
This project helped me practice turning raw customer data into meaningful business insights and strengthened my understanding of practical data analysis.
🚀 Next, I want to explore more advanced segmentation techniques and build interactive dashboards around customer insights.
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