Business case studies demonstrating analytical thinking and decision-making.
A full SQL → Python → Power BI project, built on real customer data
The objective is to identify the customer segments most likely to churn‚ to calculate the expected revenue loss‚ and to devise actionable and prioritized retention strategies
A growth analytics audit and A/B testing framework analyzing 90 days of web traffic, channel acquisition quality, conversion funnel drop-offs, and user retention for the Google Merchandise Store.
Evaluated 102,800 user sessions to locate structural leaks in the conversion path, prioritize mid-funnel and mobile optimization, and build an A/B testing roadmap focused on conversion and retention.