Bhagya Laxmi Vutukula

Business Intelligence Analyst @PNC

NJ, US

Designed and developed interactive dashboards in Tableau and Power BI to monitor financial KPIs such as loan performance, customer acquisition trends, and risk exposure, improving decision-making for senior leadership.• Collaborated with cross-functional teams to gather business requirements, translating them into technical specifications and implementing data-driven solutions aligned with regulatory and compliance standards in the financial domain.• Automated ETL pipelines using SQL and Python (PySpark) for ingesting and transforming large volumes of customer transaction data, reducing manual effort by 40% and ensuring high-quality, clean datasets for reporting.• Engineered and deployed predictive modeling frameworks and advanced regression pipelines to forecast credit risk and customer churn, leveraging scikit-learn, TensorFlow, and ensemble learning techniques to drive enterprise-level risk mitigation.• Partnered with stakeholders to conduct A/B testing and hypothesis testing on customer engagement strategies, providing data-backed insights that improved digital banking adoption rates.• Spearheaded the modernization of legacy reporting ecosystems by migrating mission-critical data pipelines to AWS Redshift and Azure Data Factory, architecting scalable ELT workflows and query optimization strategies that reduced latency.

Andhra University

Bachelor's degree

University of Cincinnati Carl H. Lindner College of Business

MS-IS