A project demonstrating how to predict customer churn based on product usage behaviours.

Analyzing user churn rates with SQL and Python

Investigating a dataset from an example telecom company called Databel and analyze their churn rates

📈 Projeto para redução de Churn Rate de uma empresa de telecomunicações através de Machine Learning.

This is one of my first projects for Codeup, my Telco Churn Classification Project. The goal was to create a machine learning model to accurately predict customer churn.

Developed a Power BI dashboard for managers to analyze customer churn patterns, focusing on churn rates, demographics, and transaction history. Formulated strategic recommendations to enhance customer retention efforts.

This Tableau case study investigates a dataset from an example telecom company called Databel and analyze their churn rates.

Analyze Databel's Churn Rate in Tableau

Repositório do Challenge de Data Science da Alura

В проекте я провожу предобработку данных данных и изучаю их, в том числе считаю некоторые метрики, например: churn rate.

The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.