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AvyDle/SA-Ecommerce-Customer-Analytics

Domain:

socioeconomic

Record type:

project
Creator:
Avy
Host:
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. # πŸ₯‘ **SA E-Commerce Customer Analytics** ## *Transforming 44,000+ Customer Data Points Into R4.8M+ Revenue Opportunities* ### πŸ“Š **Advanced ML Platform for South African E-Commerce Intelligence** --- ## πŸ“‹ **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. **🎯 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 **πŸ› οΈ Technical Stack** - **Languages:** Python, SQL - **ML Libraries:** Scikit-learn, Pandas, NumPy - **Visualization:** Tableau, Matplotlib, Seaborn - **Infrastructure:** Google BigQuery - **Tools:** Jupyter Notebooks, Git/GitHub --- ## 🎯 **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** πŸ“‰ > *"Which customers are most likely to churn and what are the early warning indicators?"* > **2. Customer Segmentation** πŸ‘₯ > *"How can we group customers for targeted marketing and personalized experiences?"* > **3. Geographic Performance Analysis** πŸ—ΊοΈ > *"What are the regional patterns and opportunities across South African provinces?"* > **4. Customer Experience Optimization** ⭐ > *"Which factors most influence satisfaction and how can we improve retention?"* --- ## πŸš€ **Quick Navigation** | Section | Description | |---------|-------------| | 🎯 **Business Impact** | Key results and ROI metrics | | πŸ“Š **Live Dashboards** | Interactive Tableau visualizations | | πŸ”¬ **Tec …