About me
I'm a Data Science student at UC San Diego passionate about turning raw data into decisions that matter. My work sits at the intersection of machine learning, data engineering, and real-world impact, from modeling consumer credit risk for fintech partners to building full-stack analytics systems that drive business growth.
I bring both technical depth and real-world context to every project. I've engineered ML pipelines over millions of transactions, built production-ready web applications, and led interdisciplinary teams, all while working part-time and maintaining academic honors. My goal is to work as a clinical data scientist embedded within a health system- translating predictive models into clinical decision support at the point of care.
What i'm doing
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Machine Learning
Building and benchmarking predictive models with a focus on high-stakes, consequential decisions.
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Data Analytics
Designing end-to-end reporting systems and dashboards that translate complex datasets into clear, actionable insights.
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Data Engineering
Engineering robust data pipelines and feature stores from large-scale raw data.
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Software Development
Building full-stack, production-ready applications using Python, SQL, JavaScript, HTML, CSS, and AWS.
