# Kenya-Insurance-Risk-Intelligence-Platform
An end-to-end data science and machine learning platform for the Kenyan insurance industry that combines:
- Claims forecasting
- Fraud detection
- Customer risk scoring
- Inflation impact analysis
Built using real-world insurance and macroeconomic concepts relevant to the Kenyan market.
# Project Overview
The Kenyan insurance industry faces growing challenges from:
- Rising medical and motor claims
- Fraudulent insurance activities
- Economic inflation pressures
- Fuel price volatility
- Climate-related financial risks
This project provides an integrated analytics system that helps insurers:
✅ Forecast future claims
✅ Detect suspicious claims
✅ Identify high-risk policyholders
✅ Understand inflation-driven insurance risk
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# 🎯 Objectives
The platform aims to:
1. Predict future insurance claims trends
2. Detect potentially fraudulent claims
3. Generate customer risk scores
4. Analyze the effect of inflation on claims costs
5. Deliver insights through an interactive dashboard
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# System Architecture
```text
┌─────────────────────┐
│ External Economic │
│ Data (CPI/Fuel/FX) │
└─────────┬───────────┘
│
┌────────▼────────┐
│ Data Pipeline │
│ ETL + Cleaning │
└────────┬────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
┌────────▼───────┐ ┌────────▼────────┐ ┌────────▼────────┐
│ Claims Forecast│ │ Fraud Detection │ │ Risk Scoring │
│ Prophet/XGB │ │ XGBoost │ │ Random Forest │
└────────┬───────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
└───────────────────┼───────────────────┘
│
┌────────▼────────┐
│ Streamlit App │
│ Dashboard UI │
└─────────────────┘
# Project Structure
kenya-insurance-risk-platform/
│
├── app/
│ └── app.py
│
├── data/
│ ├── raw/
│ │ ├── customers.csv
│ │ ├── claims.csv
│ │ └── macroeconomic.csv
│ │
│ └── processed/
│
├── models/
│ ├── claims_forecast_mod …