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