Bhuvana Ponugoti

Master's

Information Science

Capital One

Business Data Analyst

- Increased fraud detection accuracy by 30% with machine learning models in Python and R, analyzing 500M+ transactions. Utilized - Azure and Teradata for scalable processing and real-time monitoring - Conducted risk assessments using SAS and SQL on MySQL and Oracle databases, improving customer verification precision by 20 - Utilized JIRA and Confluence for efficient project tracking and documentation, enhancing collaboration and transparency among team - Leveraged Tableau and Power BI for data visualization, providing insights that enhanced decision-making and security measures - Developed and maintained interactive Qlik Sense and Qlik View dashboards for financial reporting, providing real-time insights into - Applied statistical analysis and predictive modelling to mitigate emerging fraud scenarios, maintaining robust models - Analysed customer behaviour data to identify patterns, informing the development of improved fraud detection strategy