Repository of GEMAct source code. Enjoy!

GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency

XGBoost Regressor to predict healthcare expenses based on features such as age, BMI, smoking, etc.

Data visualization about smoking impact on insurance annual charges

InsureSight is an intelligent insurance pricing engine that leverages ML to forecast premiums using demographics, medical history, and lifestyle factors. Delivers instant, data-driven cost predictions via an intuitive Streamlit interface.

This is the backend server for AssuredLife - a modern life insurance management platform. It is a role-based full-stack web application built with the MERN stack. It provides a secure and robust REST API to support the client-side application.

AssuredLife is a modern, full-stack web application designed to streamline the process of purchasing and managing life insurance policies. It provides a secure, responsive, and role-based platform for customers, agents, and administrators.

Insurance Premium Optimization (End-to-end ML Ops project)

Unofficial Node.js SDK tailored for MyCover.ai. Seamlessly integrate and supercharge your insurance offerings with Africa's foremost insure-tech infrastructure.

Using a Monte Carlo simulation, we analyzed an auto insurance pool to identify its risk characteristics through Gamma distribution and the Law of Large Numbers. This analysis also helped calculate the minimum premium required to achieve the APRA sufficiency level.

Web-based CRM for managing clients and policies with automated prime calculation. Includes policy creation, INCENDIE tracking, and full financial breakdowns. Built with Flask and SQLite.

Written in Julia | Car insurance cost simulations

To view the report and the semantic model of this repository click the link below

A machine learning-powered Streamlit web application that predicts insurance charges based on personal and demographic factors, featuring an intuitive UI and real-time predictions.

Model predicting insurance charges based on the user's age, taking into account smoking and BMI

What medical costs should a health insurance company expect from their policy holders?

Assessing the profitability of No-Claim-Discount (NCD) car insurance scheme, this analysis employs Markov chains and Monte Carlo simulations in R. The study aims to evaluate the current scheme design, forecast future premiums, and propose enhancements for long-term viability.

The complete actuarial pricing flow for Python. A structured framework that unifies GLM modeling, proper offset handling, and predictive diagnostics for professional non-life insurance pricing.

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