Comprehensive customer analytics for South African e-commerce operations using advanced data science techniques. Features customer segmentation, churn prediction, geographic analysis, and interactive Tableau dashboards with R5.5M revenue enhancement potential.
# π₯ **SA E-Commerce Customer Analytics**
## *Transforming 44,000+ Customer Data Points Into R4.8M+ Revenue Opportunities*
### π **Advanced ML Platform for South African E-Commerce Intelligence**
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## π **Project Overview**
A comprehensive **customer analytics and business intelligence project** with machine learning components, analyzing 44,000+ South African e-commerce customers across 6 integrated datasets. This project demonstrates end-to-end data science capabilities from data engineering to predictive modeling and interactive dashboard development.
**π― Project Details**
- **Type:** Customer Analytics + Machine Learning
- **Data Scale:** 44,000+ customer records
- **Timeline:** Jan 2023 - Sep 2023
- **Geography:** All 9 SA provinces
- **Framework:** 3-phase academic structure
**π οΈ Technical Stack**
- **Languages:** Python, SQL
- **ML Libraries:** Scikit-learn, Pandas, NumPy
- **Visualization:** Tableau, Matplotlib, Seaborn
- **Infrastructure:** Google BigQuery
- **Tools:** Jupyter Notebooks, Git/GitHub
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## π― **Problem Statement & Research Questions**
South African e-commerce businesses need data-driven insights to optimize customer relationships and drive growth. This project addresses four critical business challenges:
> **1. Customer Churn Prediction** π
> *"Which customers are most likely to churn and what are the early warning indicators?"*
> **2. Customer Segmentation** π₯
> *"How can we group customers for targeted marketing and personalized experiences?"*
> **3. Geographic Performance Analysis** πΊοΈ
> *"What are the regional patterns and opportunities across South African provinces?"*
> **4. Customer Experience Optimization** β
> *"Which factors most influence satisfaction and how can we improve retention?"*
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## π **Quick Navigation**
| Section | Description |
|---------|-------------|
| π― **Business Impact** | Key results and ROI metrics |
| π **Live Dashboards** | Interactive Tableau visualizations |
| π¬ **Tec β¦