Gen P B2B SaaS Analytics & Churn Reduction

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