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Reserving IBNR in Python

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.

Main Features

  • Read claims data from Excel
  • Build development triangles
  • Calculate development factors
  • Estimate Ultimate Losses
  • Calculate IBNR reserves
  • Export results
  • Visualize trends

Project Status

# 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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Actuarial reserving workflow in Python: synthetic insurance claims generation, development triangles, Chain Ladder, IBNR estimation and reserve diagnostics.

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