A web + mobile app (PWA) with Stripe integration for forecasting SaaS revenue
-
Updated
Sep 10, 2026 - TypeScript
A web + mobile app (PWA) with Stripe integration for forecasting SaaS revenue
SaaS metrics in a nutshell
End-to-end SaaS revenue and churn analytics project using Python, SQL, and Power BI to uncover subscription growth, MRR/ARR trends, cohort retention, churn drivers, and customer revenue risk.
Job-ready data analyst portfolio showcasing end-to-end analytics workflows using SQL, Python, Power BI, Tableau, and Excel. Includes dashboards, data cleaning, advanced SQL, and business insights across SaaS, ecommerce, marketing, operations, and finance.
End-to-end SaaS churn analytics platform — MySQL data pipeline, Tableau executive dashboard, and a LightGBM machine learning model with a Streamlit app to flag at-risk customers before they cancel
Board-Level Decision Intelligence Operating System. A future-state enterprise operating model for governing forecast confidence, commercial risk, recovery investment, capital allocation, and executive decision-making under uncertainty.
SaaS Expansion Scenario Model using real Datadog FY2025 data. SQL + Financial Modeling.
24-month SaaS subscription retention engine constructing triangular monthly cohort matrices and modeling LTV:CAC unit economics in SQL and Python.
End-to-end SaaS customer churn and revenue risk analysis using Python, Pandas, and Power BI to identify churn trends, At-Risk MRR, high-value customer segments, and retention priorities.
End-to-end SaaS analytics project using SQL and Power BI to clean and analyze subscription data, measuring customer lifetime, churn behavior and customer lifetime value (CLV) to identify revenue drivers and retention opportunities.
Production-grade Causal AI engine that replaces flawed churn prediction with uplift meta-learners to target true Persuadables. Simulates enterprise SaaS revenue recovery, eliminates spend on Sure Things, and protects revenue from Sleeping Dogs.
flowpilot-saas-cloud-economics
Official MCP connection and discovery repository for Revinho business intelligence
End-to-end Product Analytics portfolio with real-world projects using SQL, Python, Excel, and BI dashboards (Power BI & Tableau). Includes datasets, case studies, KPI frameworks, and decision-focused analysis.
Demonstrates practical data analysis using Python for exploration and Power BI for delivering business-ready, interactive insights.
Executive product analytics case study diagnosing why efficient SaaS growth breaks without retention durability, and why Enterprise-led strategy outperforms volume-led acquisition.
Business Intelligence analysis of SaaS customer acquisition patterns and data quality audit using Python and Pandas.
Production-style SaaS analytics engineering platform with Python, PostgreSQL, dbt, Metabase, CI/CD, observability, Airflow orchestration, Ruff, and SQLFluff.
Open-source MCP server for Claude AI with Stripe and Supabase integration for SaaS analytics, churn analysis, subscription tracking, and revenue insights using natural language
To associate your repository with the saas-analytics topic, visit your repo's landing page and select "manage topics."