Effortless in-app purchase management and revenue growth for mobile and beyond
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Updated
Apr 8, 2026 - Swift
Effortless in-app purchase management and revenue growth for mobile and beyond
Data models for Fivetran's Zuora transformation package, built using dbt.
Why manual SaaS analytics tools waste your time — and how Chartsy fixes it all in one place.
SQL case study analyzing Foodie-Fi, a subscription streaming service, using MySQL. Covers customer churn, plan upgrades, and a from-scratch payments table with mid-cycle proration logic. Part of the 8 Week SQL Challenge by Danny Ma.
Python toolkit for simulating SaaS subscriptions and analyzing business metrics using the Razorpay API in test mode
Python CLI to fetch all Chargebee account data and run rule-based subscription analytics: churn prediction, revenue forecasting, CLV, customer segmentation, payment failure detection, anomaly detection, and more.
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.
AI-powered subscription health monitor using RevenueCat Charts API
A Subscription case study fully in excel
📊 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
Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.
Cohort-driven subscriber forecasting with Weibull survival, SARIMA gross adds, and cohort stacking
API and integration profile for ProfitWell.
API and integration profile for ChartMogul.
SaaS Subscription & Churn Analytics | SQL Server + Power BI | 40+ queries across 4 complexity levels | MRR, ARR, churn drivers, feature usage, support impact | 3-page interactive dashboard built on normalized relational database.
Baremetrics APIs.json profile
📊 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.
SQL, Python and Power BI project analysing SaaS churn drivers, revenue-at-risk and retention opportunities.
RevenueCat Charts API analytics
Bronze-to-Gold dbt pipeline on BigQuery for subscription MRR analytics, churn tracking, and cross-sell performance.
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