A web + mobile app (PWA) with Stripe integration for forecasting SaaS revenue

SaaS metrics in a nutshell

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.

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.

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

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.

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

📈 A machine learning pipeline for SaaS revenue forecasting using time-series regression, Optuna hyperparameter tuning, and SHAP-based model explainability.

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

Pipeline de dados end-to-end para analytics de RevOps em uma empresa SaaS B2B fictícia, com Python, BigQuery, dbt, Airflow e Power BI.

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.

Executive product analytics case study diagnosing why efficient SaaS growth breaks without retention durability, and why Enterprise-led strategy outperforms volume-led acquisition.

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.

AI-powered self-service analytics dashboard for SaaS platforms. Features comprehensive metrics (MRR, CAC, LTV, Churn), natural language queries with Claude AI, automated anomaly detection, and interactive visualizations. Built with Streamlit, Pandas, and Plotly.

Analyze SaaS revenue with SQL and Python to track MRR, churn, cohort retention, ARPU, LTV, and revenue concentration

End-to-end event-driven SaaS analytics platform with ~900K simulated events. Implements Bronze–Silver–Gold warehouse architecture, star schema modeling, KPI data marts, and business dashboard using Python, PostgreSQL, dbt, and Streamlit.