At Ringg AI, I owned web, paid-search, and CRM analytics, auditing GA4 against CRM and product data. I found the property recorded zero conversions and captured only a portion of real demo requests and signups, then delivered a 12-point tracking fix plan.
I built a CRM-to-Google Ads offline-conversion pipeline using Cloud Run and the Pipedrive API, and evaluated five Google Ads experiments with significance testing and power analysis. I also joined CRM leads and deals to product signups and payments to surface attribution gaps and improve funnel reporting.
For Ringg AI's client reporting, I built an eight-page Streamlit dashboard on BigQuery, with dedicated suites for enterprise accounts. At Goldman Sachs, I queried backend systems to improve data integrity and automated steps in internal reconciliation software.
On the Cash Control System Uplift project at Goldman Sachs, I analyzed 3,000+ data breaks with SQL and worked with Engineering to define rule-based reconciliation logic. I also conducted UX audits, translated findings into PRDs, and proposed feature enhancements including smart filtering and automated journal entries.
