Nitya Garlapally
Healthcare Data Analyst @AMN Healthcare
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WORK HISTORY
Healthcare Data Analyst @AMN Healthcare
US
Managed the “Workforce Optimization & Patient Outcome Analytics” project, gathering staffing and patient data from Epic and Cerner EHRs, conducting requirement-gathering sessions with HR and clinical managers, identifying trends that improved staffing efficiency by 18%. Performed Python-based statistical analyses including regression, trend, and cohort modeling on clinical and demographic datasets, validating data accuracy, ensuring quality assurance, and generating insights that reduced patient care delays by 15% and improved operational decisions. Executed advanced Excel analyses using macros, pivot tables, VLOOKUPs, and nested formulas for ad-hoc reporting, monitoring staffing patterns and patient outcomes, enabling rapid decision-making and contributing to a 12% improvement in resource allocation efficiency. Standardized and integrated many healthcare datasets using SQL and HL7 norms, improving interoperability across departments, increasing cross-team data accessibility by 22%, and enabling HIPAA-compliant reporting, quality improvement tracking, and coordinated patient careinitiatives. Collaborated with clinical managers, HR teams, and IT specialists to document workflows, translate operational and clinical requirements into actionable insights, presenting findings that contributed to a 10% improvement in workforce utilization and patient satisfaction. Developed interactive Power BI dashboards using DAX measures, visualizing patient outcomes, staffing ratios, and operational KPIs, providing leadership with real-time insights that improved timely interventions, resource allocation, and reporting accuracy across multiple facilities.
EDUCATION
Anurag Group of Institutions
Bachelor's degree, Pharmacy
George Mason University
Master's degree, Health informatics
ABOUT NITYA GARLAPALLY
I am a Health Informatics professional with a Master’s degree from George Mason University and a strong background in pharmacy, healthcare data analytics, and electronic health records (EHR) management.My expertise lies in applying data analytics, artificial intelligence (AI), and machine learning to improve patient care, optimize healthcare operations, and support personalized medicine. I am proficient in Python, SQL, Tableau, XML, and Linux environments, with experience in projects ranging from predictive modeling of patient outcomes to medical imaging analysis and AI-driven healthcare insights.With hands-on experience in revenue cycle management and a foundation in clinical workflows, I bring a unique blend of technical skills and healthcare knowledge. I am passionate about advancing AI-driven, data-informed solutions that reduce health disparities and enhance patient outcomes.Currently, I am seeking opportunities to contribute as a Health Informatics Specialist / Healthcare Data Analyst / AI in Healthcare Professional, where I can leverage my skills to bridge the gap between healthcare and technology.
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