Rhea Handa
Data Analyst @Bank of America Merrill Lynch
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WORK HISTORY
Data Analyst @Bank of America Merrill Lynch
Developed and optimized risk modeling data pipelines using SQL, PySpark, and Hadoop to support key regulatory and management reporting frameworks including CCAR, CECL, and IFRS 9- Executed large-scale ETL processes for financial data extraction, transformation, and loading to enhance model development, validation, and execution within the Global Risk Analytics (GRA) platform- Designed and deployed Tableau dashboards to visualize risk exposure, capital adequacy, and portfolio performance, enabling data-driven decision-making- Leveraged Python and object-oriented programming (OOP) to automate financial risk analysis, improving efficiency in stress testing, forecasting, and capital planning workflows.
EDUCATION
Fr. Conceicao Rodrigues Institute of Technology
Bachelor of Engineering - BE, Computer Engineering
University of Southern California
Master of Science - MS, Applied Data Science
ABOUT RHEA HANDA
As a graduate with a Master of Science in Applied Data Science from the University of Southern California (2024), I currently work as a Data Analyst at Bank of America Merrill Lynch. In this role, I develop and optimize risk modeling data pipelines using tools like SQL, PySpark, and Hadoop to support regulatory and management reporting frameworks such as CCAR, CECL, and IFRS 9. My work focuses on executing large-scale ETL processes, designing Tableau dashboards for actionable insights, and leveraging Python for automating financial risk analysis, which supports stress testing and capital planning. I am passionate about leveraging data-driven insights to empower strategic decision-making and contribute to organizational success.
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