I will build a customer churn prediction model with an interactive dashboard

Alcune informazioni sono riportate in lingua inglese.

India

Parlo Hindi, Inglese, Spagnolo

Data Science, Machine Learning, AI Solutions

Hi, I'm Neil, a Data Science & Machine Learning Developer passionate about solving real-world problems with data. I help businesses, startups, and students build ML models, analyze data, create dashbo...
Informazioni su questo servizio

Losing customers quietly costs more than most businesses realize. I'll build 

a custom churn prediction model that identifies which customers are likely 

to leave before they do packaged in an easy-to-use interactive dashboard, 

not just a static script.


What you get:

Data cleaning & preprocessing of your customer data

Model comparison: Logistic Regression vs XGBoost, so you get the 

  best-performing approach for your data

Feature importance analysis understand WHY customers churn, not just who

Interactive Streamlit dashboard with two modes: bulk CSV upload for batch 

  predictions, and a manual form for single-customer lookups

Optional: fully deployed, shareable dashboard link + retraining instructions


This is a complete, tested pipeline I've already built end-to-end dual-model 

comparison, working dashboard UI, and a downloadable pre-trained model not 

a theoretical demo.


Perfect for: subscription businesses, SaaS products, telecom, e-commerce, 

membership platforms anywhere retention matters.


Send me your customer dataset (CSV with historical churn labels) and I'll get 

started. Message me first if you're unsure which package fits your needs.

Expertise:

Classificazione

Churn

Analisi predittiva

Linguaggio di programmazione:

Python

SQL

Colab

Framework:

Scikit-learn

Altro

Strumenti:

Quaderno jupyter

Colab

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