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Led data analysis within the Fiat team to optimize payment flows, reduce transaction failures, and improve user experience. Developed SQL queries and dashboards in Looker Studio to monitor fiat transaction performance and system uptime. Achieved a 40% fraud reduction through anomaly detection models and trend analysis. Automated reporting processes for daily transaction metrics and issue tracking, increasing reporting efficiency by 50%. Partnered with product and engineering teams to debug and resolve issues, improving resolution time by 35%. Delivered weekly insights and data storytelling reports to leadership, informing key decisions across the fiat operations lifecycle.

Conducted detailed transaction analysis using SQL and Excel, surfacing risk patterns and operational bottlenecks. Developed fraud detection logic and alert systems that cut user disputes by 50% in 6 months. Proposed and built monitoring systems to enhance transaction accuracy and improve data visibility. Partnered with customer support and product teams to resolve high-impact payment issues through data diagnostics.