Radhika Keerthi Depuru

Spearheaded the collection, cleaning, and analysis of large-scale patient discharge datasets using SQL and Python, identifying inefficiencies in clinical workflows and proposing data-driven process improvements that enhanced patient satisfaction and operational efficiency. Designed and automated recurring and ad hoc reports for clinical, operational, and administrative stakeholders, reducing manua

Led data analysis and quality assurance for enterprise applications, validating system performance and data integrity across functional, system, and regression testing phases, ensuring alignment with business requirements. Partnered with developers and business analysts to validate backend data using complex SQL queries, enhancing test coverage by 15% and improving system reliability.

Performed end-to-end data validation and backend testing for healthcare and enterprise software modules, ensuring data consistency and compliance with business requirements across multiple platforms. Supported data migration projects by verifying ETL processes, using SQL and Excel to validate data integrity across source and target systems, achieving 98% accuracy in production reports.

Conducted manual testing and data validation for web-based enterprise applications, ensuring alignment with functional and business requirements in fast-paced environments. Designed and executed SQL-based test cases to validate backend data, identifying inconsistencies and improving data quality by 15% across multiple projects.

Completed a Bachelor of Technology in Chemical Engineering. This program provided a strong foundation in engineering principles and problem-solving methodologies.