Data Science & AICustomer Segmentation
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BSc. Data Science Group Project · 2023

ICTlab, University of Science and Technology of Hanoi
Hanoi, Vietnam

Customer Segmentationfor Retail Strategy

A collaborative data science project using unsupervised learning to identify customer segments and support more targeted marketing strategies.

Customer Analytics · Unsupervised Learning · Retail Strategy · Data Visualisation

Customer Segmentation for Retail Strategy project

Project Overview

A collaborative course project applying customer segmentation to retail data. The team compared clustering approaches, profiled four customer groups, and translated the findings into targeted marketing suggestions.

Role

Project Contributor
& Methodology Design

Context

Fundamentals of Data Science · Course Project

Collaboration

Hai Minh HUA
Duc Thai PHUNG
Mau Minh Phuc LE
Minh Hoang PHAM

Areas

Customer Analytics · Clustering · Marketing Strategy

Tools & Technologies

Python · K-Means · Agglomerative Clustering · Elbow Method · Silhouette Score

My Contribution

01

Research Framing

Helped define the segmentation objectives and business questions.

02

Data Preparation

Contributed to feature engineering and exploratory analysis.

03

Customer Profiling

Supported cluster interpretation and marketing recommendations.

Dataset

Public retail customer dataset with 2,240 customers and 29 attributes

View Dataset on Kaggle

Project Outcome

The project identified four distinct customer segments and translated their purchasing behaviour into targeted retail marketing suggestions.

View Slide

Let's use data to understand customer groups and support more focused retail strategy.

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