Mobile Money Transaction Intelligence across East Africa - AIMS Senegal Academic Project
# Data Preprocessing - Mobile Money Transaction Intelligence
**AIMS Senegal Academic Project**
*Master's in Mathematical Sciences with Big Data Specialization*
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## 📋 Project Overview
This project analyzes **Mobile Money transaction patterns across East Africa** (Kenya, Tanzania, and Uganda) to understand digital financial behavior, identify trends, and provide strategic recommendations for improving financial inclusion and service optimization.
### Team Members
- **Ndeye Khady Wade**
- **Maimouna Ndoye**
- **Soukeyna Touré**
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## 🎯 Project Objectives
### Strategic Goals
1. **Time Pattern Analysis** - Identify peaks and troughs in transaction activity
2. **User Behavior Analysis** - Understand transaction habits and demographics
3. **Geographic Disparities** - Compare rural vs. urban financial inclusion
4. **Competitive Analysis** - Evaluate performance across providers and countries
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## 📊 Dataset Overview
### Dataset Characteristics
- **Size:** 5,000 transactions
- **Coverage:** Kenya, Tanzania, Uganda
- **Time Period:** July - December 2023
- **Missing Values:** 0.27%
- **Final Sample:** 5,000 observations
### Key Variables
| Variable | Description |
|----------|-------------|
| `transaction_id` | Unique transaction identifier |
| `timestamp` | Date and time of transaction |
| `country` | Country (Kenya/Tanzania/Uganda) |
| `provider` | Mobile Money provider |
| `transaction_type` | Type (deposit/withdrawal/payment) |
| `user_type` | User category (individual/business/agent) |
| `amount_usd` | Transaction amount in USD |
| `user_age` | User age group |
| `is_rural` | Rural/Urban indicator |
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## 🔍 Analysis Framework
### 1. Exploratory Data Analysis
- **Transaction Volume by Hour**
- Peak activity: 8 AM - 6 PM (~380 transactions/hour)
- Low activity: Midnight - 6 AM
- **Monthly Distribution**
- Peak: August (890 transactions)
- Trough: September, November
- Recovery: December
- **Weekday vs Weekend Patterns**
- Stable amounts: USD 20-30
- …