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

SaaS metrics in a nutshell

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.

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

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.

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

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

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

Automatically capture leads from web forms, emails, and social media into your CRM. Works with any CRM, not locked to one vendor.

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

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

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.

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

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.

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.

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.

Interactive quizzes, skill assessments, leaderboards, and certification tracking. Gamified learning for SaaS Analytics & Metrics teams.

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.