Data Science Analyst specializing in healthcare predictive modeling and structured EHR data (MIMIC-III/IV, eICU)
Contributed to Mayo Clinic Datathon 2026, analyzing 94,000+ ICU patient stays under physician mentorship
Developed Palliative-ness Score and XGBoost model (AUROC: 0.959); recognized with WHY Award
Built end-to-end ICU mortality prediction pipeline, including a clinician-facing Streamlit risk scoring application
Strong foundation in Physics & Statistics, with expertise in feature engineering, model evaluation, and recall-focused optimization
Skilled at translating complex clinical data into actionable insights for both technical and non-technical stakeholders
Overview
4
4
years of professional experience
1
1
Certification
Work History
Substitute Teacher
Jacksonville, FL
01.2022 - Current
Communicated complex analytical and scientific concepts clearly to diverse non-technical audiences – directly applicable to presenting data insights to clinical stakeholders.
Data Handling & Communication: Data Extraction, Data Cleaning, Cohort Selection (SQL), Clinical Data Interpretation, Reporting, Cross-functional Communication
Certification
Stanford Medicine | Introduction to Clinical Data (Healthcare AI)
Mayo Clinic Datathon April 2026 Participant & WHY Award Recipient