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.

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

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

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.

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.

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.

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

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.

Production-style SaaS analytics engineering platform with Python, PostgreSQL, dbt, Metabase, CI/CD, observability, Airflow orchestration, Ruff, and SQLFluff.

Product analytics decision engine for evaluating SaaS onboarding experiments using BigQuery, A/B testing, Power BI, and Streamlit.

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.

B2B SaaS product analytics: activation funnels, cohort retention, churn, and A/B testing (z-test framework) on 1.4M+ product events. SQL + DuckDB + Python (statsmodels) + multi-page Streamlit dashboard.

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