At Capital One, I query multi-source data in Azure Synapse Analytics and turn Finance and Operations requests into actionable analysis. I also use Python and SQL to identify patterns that inform business decisions.
I analyzed failed card and digital transactions, found root causes and process gaps, and revamped the reversal process, increasing the auto-reversal rate by 15%. I also use Python and Power Query to clean data and support reliable reporting.
At Sterling Bank PLC, I designed Power BI dashboards and developed data models with SQL and Python to support decisions across business units. I partnered with stakeholders on customer segmentation, contributing to improvements in email click and open rates of 50%.
Earlier at Sterling Bank PLC, I investigated escalated customer complaints and prepared weekly branch performance reports. I also supported the rollout of customer experience initiatives.
