Repositorio del proyecto de predicción del problema Telco Customer Churn (kaggle)

This contains some of the data analysis projects I have worked on in excel.

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

This project aims to aims to predict the customer churn (likelihood of a customer leaving the company) for a telecom company using a variety of ML classification algorithms.

Perform exploratory data analysis and develop machine learning models to a telecom customer churning dataset

Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️

Precision-driven customer churn analysis using CatBoost for accurate predictions and insightful model evaluation.

Customer Analytics

The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need to predict whether the customer will churn, stay or join the company based on the parameters of the dataset.

Analysis of Bank customers Data to know custmer churn.

Customer Churn Analysis Report using powerbi

Predictive Churn Analysis for Telecom Company Using Python

Prediction of whether or not a customer leaves in an specific period of time, deployed to GCP

Derive insights of factors contributing to customer churn in the Telecom Industry.

Built a churn prediction model to retain subscription customers. Expertly preprocessed data, engineered features, and optimized models for accuracy. Deployed the model via Flask for real-time predictions, showcasing end-to-end data science skills.

In this project, we embark on an exciting journey to explore and analyze customer churn within the Telecom network service using the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework.

Analyzing e-Commerce company customer churn and providing business recommendations

Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.