Customer Churn Prediction Model Comparison –
                                    Tableau Dashboard
                                
                                
                                
                                    Losing existing customers (churn) is one of
                                    the most concerning issues for businesses,
                                    directly impacting revenue and growth.
                                    The client wanted to develop churn
                                    prediction models using different machine
                                    learning algorithms and compare them
                                    graphically.
                                    To address this, we developed a Tableau
                                    dashboard that visualizes and compares the
                                    performance of multiple machine learning
                                    models for churn prediction.
                                    By integrating model outputs from Python
                                    into Tableau, the solution provided
                                    management with a clear, interactive view of
                                    churn probabilities across models.
                                
                                
                                
                                    Project
                                        Highlights
                                    
                                        - Model Integration: Trained
                                            and evaluated four machine learning
                                            models — Boosted Trees, Logistic
                                            Regression, Neural Networks, and
                                            Random Forest — using Python with
                                            Scikit-learn, TensorFlow, and
                                            XGBoost.
 
                                        - Performance Comparison
                                                Dashboard: Designed a
                                            Tableau dashboard to visualize churn
                                            probabilities across models with
                                            bubble plots, logit comparison
                                            charts, and color-coded
                                            outcomes.
 
                                        - Interactive Filters:
                                            Implemented dynamic filters for
                                            gender, seniority, and billing
                                            method to allow segmentation of
                                            churn insights by customer
                                            attributes.
 
                                    
                                 
                                
                                
                                    Business Impact
                                    
                                        - Optimized Retention Strategy:
                                            Empowered the client to adopt the
                                            most effective churn prediction
                                            model for their business case.
 
                                        - Targeted Customer Engagement:
                                            Identified at-risk groups, enabling
                                            more personalized and effective
                                            campaigns to retain those
                                            customers.
 
                                        - Decision Support: Provided an
                                            intuitive comparison tool that
                                            translated complex model outputs
                                            into insights accessible to
                                            non-technical decision-makers.
 
                                    
                                 
                                
                                
                                    Tools &
                                        Technologies
                                    
                                        - Python: Scikit-learn,
                                            TensorFlow, XGBoost for machine
                                            learning model development
 
                                        - Tableau: Dashboard design and
                                            interactive visualization