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Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.
An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.
By Constructing a regression model without interactions for data obtained from a health insurance company- information from its subscribers who had made claims resulting from ischemic (coronary) heart disease- we are able to predict the total costs of services provided. This project helps interpret the data through appropriate scatter plots (suc…
Market analysis on Oscar as an insurtech startup. Unique advantages and approaches to solve problems are placed in the industry landscape. Recommendation is to develop a holistic smart app.
To predict whether the Health insurance policy-holders (customers) from past year will also be interested in Vehicle Insurance provided by the company.
This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation.
An insurance company wants to start selling vehicle insurance to the customers that already have health insurance. They believe that one of the ways to reach as many customers as possible with the least amount of calls is to make a machine learning model that sorts the list of customers to maximize the amount of contracted services.