AI & Machine Learning
Python, TensorFlow, Scikit-learn, Predictive Analytics, Anomaly Detection, NLP.
Python, TensorFlow, Scikit-learn, Predictive Analytics, Anomaly Detection, NLP.
EHR System Integration, FHIR APIs.
SQL, Tableau, Power BI, Data Analysis, Data Visualization.
HIPAA, GDPR, Data Encryption (AES), Data Governance.
Agile, Scrum, JIRA, Cross-functional Team Leadership.
Stakeholder Communication, User Training Sessions, Documentation, Mentorship.
Healthcare, Business Process Management (BPM).
Informatica, Talend.
Sr. Data Analyst
Bangalore, Karnataka, India
Summary
As a Senior Data Analyst, spearheaded advanced analytics and data integration initiatives within the healthcare domain, optimizing operational efficiency and improving patient outcomes through data-driven insights and strategic solutions.
Highlights
Led the migration and standardization of patient data from multiple legacy EHR systems to a unified platform, leveraging ETL tools (Informatica, Talend, Python, SQL) to enhance data quality and accuracy, reducing manual effort.
Developed and deployed advanced predictive models for patient readmissions, risk stratification, and resource optimization, contributing to enhanced healthcare decision-making and reduced patient wait times.
Designed and maintained interactive dashboards with Tableau, Power BI, and SQL, tracking key performance indicators (KPIs) and referral trends to provide actionable insights for workflow enhancements and strategic decision-making.
Implemented robust data governance practices and ensured HIPAA/GDPR compliance, successfully rolling out remote patient monitoring (RPM) systems across multiple facilities to thousands of patients.
Spearheaded data-driven projects, including AI-driven fraud detection and chronic disease management, and mentored junior data analysts in healthcare analytics methodologies and tools.
IBM