A web + mobile app (PWA) with Stripe integration for forecasting SaaS revenue
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Updated
Dec 5, 2023 - TypeScript
A web + mobile app (PWA) with Stripe integration for forecasting SaaS revenue
SaaS metrics in a nutshell
Business Intelligence analysis of SaaS customer acquisition patterns and data quality audit using Python and Pandas.
Demonstrates practical data analysis using Python for exploration and Power BI for delivering business-ready, interactive insights.
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.
End-to-end SaaS analytics project analyzing growth quality, churn dynamics, product stickiness, and strategic customer segmentation using Excel, Python, and Tableau.
📊 Analyze SaaS customer sign-up behavior and enhance data quality to identify trends and improve revenue potential by 15-20%.
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