Churn User Data

This project involved the creation of a secure, interactive web platform designed to visualize and predict customer churn for a company. The website features access controls, requiring a registration code for new user sign ups and validating existing user data against a database to allow users to login, ensuring that only verified users can access the website.

The core functionality of the website revolves around an algorithm that calculates churn probability based on three customer metrics: initial margin, last equity, and profit and loss. This enables the website to display tailored suggestions for each customer, aiming to reduce churn rates.

Key features of the platform include:

• All Data Page: comprehensive data sets of all customers

• Filtered Data Page: comprehensive data sets of customers segmented by churn probabilities

• Search Page: allows for searches of individual customer records

• Advanced Page: accessible only to users with an advanced code, offering the ability to manually add new customers to the database and send a specified email of customer data based on churn probability 

This demonstrates my technical skills in developing a web application, as well as my ability to integrate data-driven insights into user-friendly interfaces.