At Kuda Bank, I analyse customer and product data across 10M+ customers, helping Product and Business teams monitor KPIs, investigate performance changes, and make data-driven decisions.
I've built and maintained analytical datasets with SQL, BigQuery, dbt, and DataForm, processing approximately 200M rows for reporting and large-scale analysis. I also developed dashboards and automated reports in Looker, Looker Studio, and Power BI.
By partnering with stakeholders to define KPIs and business metrics, I supported a 20% improvement in core performance indicators and analytics that contributed to 15% growth in new customer acquisition. I investigate reporting inconsistencies, run data-quality checks, and have trained 60+ colleagues on BigQuery, Looker, and data exploration.
My earlier work spans customer support analytics, data QA, and sales-performance analysis, including operational improvements for teams serving millions of customers. I bring advanced SQL, experimentation analysis, Python, and practical reporting experience to product, customer, operational, and growth decisions.
