This Module tries to combine and simplify all aspects of Reinsurance Invoicing, Analysis, Slip Generation, Quotation & Data science. Later to be Intergrated into a cross platform API.

Information on reinsurance - market, analytics, and software.

Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.

A Dask library for Big Data processing in Python demo

reinspy - a Python Reinsurance Package

Open reinsurance data - be independent and create insights.

SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.

You will be able to execute transactions against a real Hyperledger Fabric blockchain network for Reinsurance Claims that interacts with a blockchain network.

A domain specific language for re/insurance contracts

File validation and data sampling toolkit for the Simplitium Open Exposure Data (OED) (re)insurance exposure data format

Repository of GEMAct source code. Enjoy!

Destruction rate modeling with the Maxwell Boltzmann Bose Einstein Fermi Dirac (MBBEFD) distribution

Functions from the book "Reinsurance: Actuarial and Statistical Aspects"

Loss modelling framework.