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.

Admin reporting for WooCommerce Subscriptions — active, churn & MRR trends with charts, immutable monthly snapshots, CSV export, scheduled email, and a REST/CLI API.

Alternative-data methods for independent TMT research: entity resolution, panel measurement, pipelines, and dashboards.

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.

📊 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

Zero-dependency SaaS metrics: NRR, GRR, churn rate, LTV:CAC, CAC payback, HHI revenue concentration, zombie MRR detection and a composite health score. The calculation engine behind churnlens.site.

AI-powered subscription health monitor using RevenueCat Charts API

Retention, CAC payback and cohort analysis on 9,300 gym subscribers: 42% retained at month 3, 12% at month 12, CAC recovered by month 7

A reproducible analytics case study for subscription value, portfolio P&L, customer segmentation, and renewal performance using synthetic data.

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.

Python toolkit for simulating SaaS subscriptions and analyzing business metrics using the Razorpay API in test mode

A Subscription case study fully in excel

Excel-based telecom customer churn dashboard with KPIs, pivot tables, and interactive slicers.

Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.

Backend for SaaSfit, turning Stripe billing data into deterministic signals, evidence-based diagnoses, prioritized actions, and founder-ready reports.

B2B SaaS analytics platform covering subscriptions, recurring revenue, billing, product adoption, retention, customer success and experimentation.

SQL, Python and Power BI project analysing SaaS churn drivers, revenue-at-risk and retention opportunities.