Healthcare data science professional with 5+ years of experience in analyzing, interpreting and reporting complex healthcare data. Proficient in Python, SQL, SAS, R and Tableau. Experience working with healthcare standard-controlled vocabularies like ICD-9, ICD-10, CPT, NDC, SNOMED-CT, LOINC, RxNorm. Experience working on healthcare industry data sets like Epic, VRDC, Cerner. Strong healthcare domain knowledge and deep understanding of healthcare data of medical claims, clinical lab, EHR, pharmacy, medical device. Experience with HIPAA regulations, and understanding of healthcare best practices like PHI, PII
• Execute Advanced Data Analytics: Conduct sophisticated analyses on extensive and varied datasets using advanced statistical and machine learning techniques, collaborating with stakeholders to derive actionable insights and drive data-informed decision-making
• Architect and Optimize Data Pipelines: Design, implement, and enhance ETL workflows to efficiently manage and process large-scale data, ensuring robustness, scalability, and alignment with complex reporting and analytical requirements
• Lead High-Complexity Analytical Initiatives: Spearhead and independently execute high-complexity data analysis projects, including the development of advanced analytical models and algorithms, while producing comprehensive reports and detailed documentation
• Develop and Evolve Data Infrastructure: Design and build scalable data applications and repositories, leveraging cutting-edge technologies to support intricate reporting needs and continuously enhance data infrastructure to meet evolving requirements