Designed and executed an end-to-end Gen P B2B SaaS analytics solution to diagnose MRR contraction, customer churn drivers, and support SLA friction points. Tech Stack & Architecture: SQL:Used for relational database querying, data extraction, and data cleaning. Advanced Excel: Utilized for data cleaning and exploratory calculations. Power BI: Built a 5-page interactive executive dashboard featuring star-schema data models, KPI overviews, and AI-driven Decomposition Trees for root-cause analysis. Business Impact: Translated complex operational datasets into clear, actionable executive insights to help leadership teams optimize retention strategies and improve customer lifetime value. Full Code & Documentation: You can review the complete project repository, data schema, and documentation on GitHub here:https://www.twine.net/signin
- AI Prompt Engineer
- Data Analyst
- Data Visualizer
