Customer Churn Analysis and Prediction Dashboard

Customer Churn Analysis and Prediction DashboardCustomer Churn Analysis and Prediction Dashboard

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Malaika Javaid

• Oct 7

Analyzed customer churn data using Python and machine learning to identify patterns linked to customer retention. Cleaned and explored the dataset, engineered features, and built a churn prediction model with an interactive analysis dashboard.

Completed work

Data Analysis Data Visualization pandas Python scikit-learn Machine Learning Engineering

Waxy Web

• Oct 7

Real Estate Analytics & Listing Dashboard

A PropTech dashboard concept combining property listing management with real estate analytics.

The workspace is structured around the information a real estate team needs to monitor and act on — property inventory, listing activity, performance metrics and business insights.

The design approach puts hierarchy first, keeping a data-heavy product organized without making it feel overwhelming.

Design focus: • Real Estate SaaS • Analytics Dashboard • Property Listing Management • Data Visualization • PropTech UI/UX • Product Design • Business Intelligence

realestatewebapp AI Engineer UI Design UX Design Figma realestatedashboard dashboarddesign

Md Sakib Mahamud

• Oct 8

Nice

Malaika Javaid

• Oct 7

Aatiqa noohani

• Oct 7

AI-Powered OTT Customer Churn & Revenue Intelligence Platform

Built an end-to-end data analytics and machine learning solution to identify customer churn patterns, predict high-risk customers, and analyze potential revenue loss.

I cleaned and analyzed customer data using Python and SQL, created an interactive Power BI dashboard, developed machine learning models for churn prediction, and used SHAP explainability to understand the key factors driving customer churn.

Tools: Python, Pandas, SQL, MySQL, Power BI, Scikit-learn, XGBoost, SHAP, K-Means.