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Click here or scroll down to respond to this candidatePriyanka M Healthcare System Analyst Healthcare Data AnalystMobile- PHONE NUMBER AVAILABLE Email EMAIL AVAILABLELinkedIn- LINKEDIN LINK AVAILABLESUMMARYDynamic and results-oriented healthcare professional with expertise in healthcare system analysis, data analytics, and electronic medical records (EMR) management. Skilled in assessing workflows, gathering requirements, and designing tailored information systems to enhance patient care and operational efficiency. Proficient in data integration, analysis, and visualization using SQL, Python (Pandas), R, Power BI, and Tableau. Adept at ensuring data compliance with healthcare regulations (e.g., HIPAA) and implementing robust security measures. Experienced in leading system testing, training, and maintenance to drive continuous improvement in healthcare technology. Seeking new job opportunities following the conclusion of a project, eager to leverage skills and experience to contribute to innovative healthcare initiatives and drive meaningful improvements in patient outcomes and organizational performance.Professional ExperienceHealthcare System AnalystUNC HealthApril 2023 - PresentCollaborated with healthcare professionals to assess workflows and identify technology-driven improvements.Evaluated existing healthcare information systems for effectiveness and alignment with organizational goals.Gathered and analyze requirements from stakeholders to understand system needs and functionality.Translated business requirements into technical specifications for system design and implementation.Designed and implemented tailored information systems for healthcare settings.Extracted, transformed, and loaded (ETL) healthcare data from diverse sources using SQL, Python (Pandas), or other tools.Applied statistical analysis and predictive modeling techniques to derive actionable insights from healthcare data.Developed interactive dashboards and reports using tools like Power BI, Tableau, or similar platforms.Created pivot tables and charts in Excel to visualize key performance indicators (KPIs) and facilitate data-driven decision-making.Ensured data compliance with healthcare regulations (e.g., HIPAA) and implement data security measures.Lead system testing and validation processes to ensure functionality and usability meet specified requirements.Provided training sessions and user support to healthcare staff on new systems and technologies.Monitored system performance, conduct regular maintenance, and implement upgrades as needed.Contributed to strategic planning initiatives by analyzing healthcare data trends and recommending technology solutions.Collaborated with interdisciplinary teams to integrate information systems and streamline communication and data exchange.Healthcare Data AnalystProgressive InsuranceOctober 2018 - July 2022Extracted and integrated diverse healthcare data sources using SQL, Python (Pandas), and R to support data-driven decision-making and optimize operational efficiency.Cleaned and normalized datasets to ensure accuracy and consistency for analysis and reporting purposes.Applied statistical analysis and predictive modeling techniques using Python (NumPy, SciPy) and R (tidy verse) to derive actionable insights and support clinical decision-making.Utilized Excel formulas and functions (e.g., VLOOKUP, SUMIF, IFERROR) to perform data manipulations and calculations for statistical analysis.Developed interactive dashboards and reports using Tableau and Power BI to visualize key performance indicators (KPIs) for healthcare stakeholders, facilitating data-driven decision-making.Supported clinical research projects by analyzing patient cohorts, treatment effectiveness, and outcome measures.Monitored and defined KPIs related to hospital operations and patient care using SQL queries and Excel spreadsheets.Ensured data compliance with healthcare regulations (e.g., HIPAA) and implemented data security measures to protect patient information.Utilized strong domain knowledge of healthcare systems and terminology to interpret and analyze complex datasets effectively.Applied machine learning algorithms for predictive modeling and decision support in healthcare settings.Created visually compelling dashboards and reports using Tableau and Power BI to communicate data-driven insights effectively to stakeholders.Demonstrated strong problem-solving skills to address complex healthcare data challenges and optimize data processes.Collaborated with interdisciplinary teams including clinicians, researchers, and IT professionals to drive continuous improvement initiatives.Managed multiple projects and tasks efficiently within deadlines, adapting to evolving healthcare analytics technologies and methodologies.EducationMaster of Science in Healthcare Informatics from University of FindlayMay 2022 June 2023Coursework: Healthcare Data Analytics, Database Systems, Data Visualizations, Health Information Networking, Privacy and Security, Health Information Exchange, and Interoperability, Organizational issues in Healthcare, Research Methods in Healthcare, Ethical and legal issues in Healthcare, Politics and Policies in Healthcare, Healthcare Project Management, Clinical Foundations, Clinical Informatics.Projects: Effect of Socioeconomic Variables on Diabetes Mellitus.SkillsData Integration and ETL Processes (SQL, Python - Pandas)Statistical Analysis and Predictive Modeling (Python - NumPy, SciPy; R tidy verse)Data Visualization and Dashboard Development (Power BI, Tableau)Proficiency in Microsoft Excel for data analysis and reportingElectronic Medical Records (EMR) ManagementRegulatory Compliance (HIPAA)System Design and ImplementationSystem Testing and ValidationTraining and User SupportProject Management and Strategic PlanningInterdisciplinary Collaboration and Stakeholder Engagement |
