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Prasad Kempegowdanahalli Somashekar
Risk Data Scientist @Regions Bank
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WORK HISTORY
Risk Data Scientist @Regions Bank
Hoover, AL, US
Build and maintain ETL pipelines in Python to create and refresh tables powering risk dashboards used by business stakeholders Develop and maintain Python validation code to replicate and verify FICO Blaze credit decision engine logic, ensuring accuracy and consistency across all decisioning outputs Write unit tests and regression tests to validate pipeline integrity and decision system behavior after every change Leading the team\'s full platform migration from Hadoop/CDSW to Snowflake, including rebuilding the datamart from scratch and re-architecting data pipelines in a regulated financial environment Led the team\'s migration from Bitbucket to GitHub across 4 repositories, establishing branch protection rules and building out CI/CD workflows to modernize the team\'s development practices
EDUCATION
Arizona State University
Master of Science - MS, Computer Science
Bangalore University
Bachelor of Engineering - BE, Electronics and Communications Engineering
Christ University, Bangalore
Pre-University Course (PUC), Physics, Chemistry, Mathematics, and Biology
ABOUT PRASAD KEMPEGOWDANAHALLI SOMASHEKAR
I am a Risk Data Scientist at Regions Bank with 7+ years of experience across software engineering and data science.At Regions, I build ETL pipelines for risk dashboards, develop and maintain Python validation systems for FICO Blaze credit decision engines, and write unit and regression tests to keep our decisioning logic reliable.Currently leading our team\'s full migration from Hadoop/CDSW to Snowflake, rebuilding our datamart from scratch in a regulated financial environment. Last year I led our Bitbucket to GitHub migration, setting up branch protection rules and CI/CD workflows across 4 repositories.Before Regions, I spent 4 years at Collins Aerospace building Python automation tools for hardware software integration testing.Transitioning into Data Engineering and documenting the journey here on LinkedIn. If you work in data engineering or manage DE teams, I would love to connect.
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