U.S. Health Insurance Appeal Overturn Prediction App

Interesting auto insurance claims prediction

Insurance workflow project

Front end website for the Fintech80 hackathon in Chengdu, China. We placed first out of 7 top universities worldwide. The app is designed to work on both mobile and desktop platforms.

A web-based application that allows customers to easily file and track insurance claims, chat with an AI-powered chatbot for assistance, and search a knowledge base for common queries.

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

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

The platform features: Provide 24/7, personalized guidance on policy selection and claims via voice or chat. Ensure clear understanding of policy terms. Automate form-filling with Al for error-free applications and higher claim acceptance rates.

An unofficial PHP wrapper for the official Claim.MD API.

Career Path countdown for new role as a Claims Adjuster Trainee with Progressive Insurance.

Vehicle Insurance Claim Fraud Detection using decision-trees, random-forest and logistic regression.

This application predicts whether a customer will make an insurance claim based on their profile and vehicle details. The app leverages machine learning models, logged and managed via MLflow, to ensure version control and easy deployment.

Insurance Premium Prediction

Healthcare Revenue Cycle ♾️

This repository contains a machine learning project focused on predicting car insurance claims based on policy, car, and demographic features.

Transparency in Coverage 💨

During the individual project, I create and modify the import documents matching with case study.

The Car Insurance Analysis project aims to provide a comprehensive examination of a car insurance portfolio using advanced data analytics tools. The analysis offers valuable insights into policy demographics, claims patterns, and financial metrics, helping stakeholders make informed decisions.

Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyze the data.

A Car Insurance Premium Analysis Case Study Related to a One of my Post on Medium