Hello

I’m a data scientist specializing in real-world healthcare data, building scalable analytics solutions to understand patient behavior, treatment patterns, and gaps in care. I work across machine learning, data engineering, and clinical data to turn complex datasets into actionable insights for decision-making.

​

I build end-to-end analytics pipelines using longitudinal EHR and patient-level data, applying machine learning and statistical methods to model disease progression, identify high-risk populations, and uncover drivers of health outcomes. My work helps surface gaps in care and supports more informed, data-driven decisions in healthcare systems.

​

I also leverage AI-driven workflows, including LLM-based feature extraction and AI-assisted code development, to accelerate analysis, improve feature engineering, and scale analytic pipelines efficiently.

​

I enjoy working at the intersection of healthcare, data science, and product thinking, collaborating with cross-functional teams to deliver impactful, real-world solutions.