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subscription-analytics

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This model Generates 2 years of synthetic user subscription and revenue event data for cohort retention analysis. It builds weekly and monthly cohort tables from subscription event data then computes retention curves, churn rates, and Net Revenue Retention (NRR) from the cohort tables.

  • Updated Jun 27, 2026
  • Python

📊 Aether Analytics | Interactive Power BI Sales & Revenue Dashboard for customer insights, category performance, seasonal trends, subscription analysis, and business intelligence. Project Workflow: Raw Dataset → Data Cleaning → Feature Engineering (SQL) → Data Modeling → Power BI Dashboard

  • Updated Jun 23, 2026
  • TSQL

📊 Subscription Churn Analysis (OTT / SaaS) is an end-to-end data analytics and machine learning project designed to analyze customer churn behavior, identify key retention factors, and predict churn probability for subscription-based platforms such as OTT streaming services and SaaS products.

  • Updated Apr 20, 2026
  • Jupyter Notebook

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