Sravya Muriki
Healthcare Analyst @Claritev
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WORK HISTORY
Healthcare Analyst @Claritev
US
Analyzed complex healthcare datasets using SQL and Python to identify key trends in patient outcomes and operational efficiency.Generated interactive dashboards in Tableau, effectively visualizing critical healthcare performance metrics for stakeholders across multiple departments.Prepared detailed reports on claims data, utilizing Excel and Power BI to present actionable insights for cost reduction initiatives.Developed data extraction scripts using Python to gather information from various healthcare data sources, improving data accessibility.Managed large healthcare databases on SQL Server, ensuring data integrity and optimizing queries for significantly faster analytical processing.Utilized statistical methods in R to interpret complex healthcare quality measures, supporting evidence-based decision-making within the organization.Designed robust data models in Snowflake, consolidating disparate healthcare data for more efficient reporting and advanced analytics.Improved data quality processes by developing automated validation routines with Python, reducing errors in patient and claims records.Created customized analytical tools using Excel macros, automating routine data processing tasks for clinical and administrative teams.Supported regulatory compliance reporting by preparing accurate healthcare data submissions, utilizing SQL queries and internal reporting systems.
EDUCATION
University of North Texas
Master of Science - MS, Health Informatics
ABOUT SRAVYA MURIKI
I am a dedicated and detail-oriented health informatics professional with a strong foundation in healthcare systems, data analysis, and health information management. My background bridges the path between clinical knowledge and technology, focusing on leveraging data-driven solutions to improve patient care, operational efficiency, and healthcare decision-making.With learning experience in areas such as electronic health records (EHR) management, data analytics, and clinical decision support systems, I am passionate about transforming raw healthcare data into actionable insights. I enjoy collaborating with interdisciplinary teams to design, implement, and evaluate information systems that enhance quality of care and promote better health outcomes.My key interests include clinical researcher, health data analytics, artificial intelligence in medicine, clinical data management, and healthcare interoperability. I am continuously developing my technical and analytical skills to contribute for innovative projects that align with the evolving landscape of digital health.
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