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.

SaaS Expansion Scenario Model using real Datadog FY2025 data. SQL + Financial Modeling.

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.

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.

Demonstrates practical data analysis using Python for exploration and Power BI for delivering business-ready, interactive insights.

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.

Business Intelligence analysis of SaaS customer acquisition patterns and data quality audit using Python and Pandas.

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

Auto-generate invoices, send reminders, track payments, and flag overdue accounts. Get paid faster with zero manual follow-up.

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

Local SaaS analytics warehouse built with dbt and DuckDB, modeling synthetic HubSpot, Stripe and product event data into CRM, billing and revenue marts.

The Early Churn Intelligence analyzes user behavior patterns over time to: - Detect early signs of disengagement - Assign a churn risk score - Estimate the likely time window in which the user may churn

Track member activity, popular channels, peak times, and growth trends. Community data without expensive analytics platforms.

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.

Product analytics and feature usage intelligence dashboard with engagement analytics, behavioral segmentation, and SaaS product insights.

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.

Customer retention and churn analysis project using SaaS subscription data. Includes cohort analysis, churn patterns, customer lifetime trends, dashboard visuals, and business recommendations.