You will get a machine learning churn prediction model
Project details
Are you looking to understand why your customers are leaving and how to prevent it?
I will build a professional Customer Churn Prediction Model using machine learning to help you identify at-risk customers and improve retention strategies. This project is inspired by real-world business scenarios, including experience from the Lloyds Banking Group Data Science & Analytics Virtual Program.
I will handle the complete process from data cleaning and exploratory analysis to model building and evaluation. You will receive clear insights, visualizations, and a reliable model that supports data-driven decision-making.
What you will get:
✔ Cleaned and preprocessed dataset
✔ Exploratory Data Analysis (EDA) with visualizations
✔ Machine learning model for churn prediction
✔ Performance evaluation (Accuracy, ROC, Confusion Matrix)
✔ Actionable business insights
✔ Well-structured and documented code
Why choose me?
✔ Strong foundation in data analytics and machine learning
✔ Experience with real-world projects
✔ Clear communication and timely delivery
✔ Focus on delivering accurate and valuable results
Let’s work together to turn your data into actionable insights and reduce customer churn.
I will build a professional Customer Churn Prediction Model using machine learning to help you identify at-risk customers and improve retention strategies. This project is inspired by real-world business scenarios, including experience from the Lloyds Banking Group Data Science & Analytics Virtual Program.
I will handle the complete process from data cleaning and exploratory analysis to model building and evaluation. You will receive clear insights, visualizations, and a reliable model that supports data-driven decision-making.
What you will get:
✔ Cleaned and preprocessed dataset
✔ Exploratory Data Analysis (EDA) with visualizations
✔ Machine learning model for churn prediction
✔ Performance evaluation (Accuracy, ROC, Confusion Matrix)
✔ Actionable business insights
✔ Well-structured and documented code
Why choose me?
✔ Strong foundation in data analytics and machine learning
✔ Experience with real-world projects
✔ Clear communication and timely delivery
✔ Focus on delivering accurate and valuable results
Let’s work together to turn your data into actionable insights and reduce customer churn.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, Tableau, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 9 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10Frequently asked questions
About Selva
Data Analyst | Python, Machine Learning, Data Cleaning & Visualization
Tirunelveli, India - 1:06 pm local time
I have hands-on experience working on real-world projects such as customer churn prediction and breast cancer classification, where I built and optimized machine learning models with strong performance. I am skilled in Python (Pandas, NumPy, Scikit-learn), data visualization, and delivering clear, actionable insights.
What I can help you with:
• Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
• Machine Learning model development
• Data visualization and reporting
• Excel and SQL-based analysis
I focus on delivering accurate, reliable, and timely results. Clear communication and client satisfaction are my priorities.
Let’s work together to turn your data into valuable insights.
Steps for completing your project
After purchasing the project, send requirements so Selva can start the project.
Delivery time starts when Selva receives requirements from you.
Selva works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding & Requirement Analysis
Review dataset and understand business goals, problem statement, and expected outcomes.
Data Cleaning & Preprocessing
Handle missing values, outliers, and prepare data for analysis and modeling.