A complete actuarial project developed in Python to estimate IBNR reserves using the Chain Ladder methodology.
This repository reproduces the workflow commonly performed in insurance companies, from raw claims data to reserve estimation and reporting.
- Read claims data from Excel
- Build development triangles
- Calculate development factors
- Estimate Ultimate Losses
- Calculate IBNR reserves
- Export results
- Visualize trends
# Reserving IBNR in Python
Professional actuarial portfolio project focused on insurance reserving using Python.
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## Project Roadmap
✅ 01 Generate Synthetic Claims Dataset
✅ 02 Exploratory Data Analysis
⬜ 03 Development Triangle
⬜ 04 Chain Ladder
⬜ 05 IBNR Estimation
⬜ 06 Reserve Diagnostics
⬜ 07 Power BI Dashboard
⬜ 08 SQL Analytics
⬜ 09 Machine Learning
⬜ 10 IFRS 17 Analytics
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## Technologies
Python
Pandas
NumPy
Matplotlib
OpenPyXL
Power BI
SQL
Git
GitHub
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## Repository Structure
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