At Shipt, I gather and analyze multi-source B2B SaaS data, write complex SQL, and validate results for business performance investigations. My work improved data accuracy by 40% and reduced query errors by 35%.
I build Tableau, Power BI, and Looker dashboards and recurring reports that make business metrics useful for operational decisions. I improved reporting delivery velocity by 38% while reducing manual reporting effort by 42%.
Previously at Meta, I supported business performance analysis serving billions of daily active users. I investigated trends, anomalies, and performance changes, translating complex analysis into practical recommendations for technical and non-technical stakeholders.
Across my work, I use Python, descriptive statistics, forecasting, and experimentation support to improve product analytics and operational planning. I also focus on data quality, clear metric documentation, and reporting processes that help product, business, and operations teams act with confidence.
