I am a public health professional with a background in data analysis, program management, and psychology. My focus is on leveraging technology to analyze health data, improve program outcomes, and advocate for vulnerable populations. This site serves as a portfolio for my projects and a space to share insights at the intersection of health and data.
Focusing on operational systems and data workflows that support person-centered services within New York State.
Public Health Leaders of Tomorrow (PHLOT) Fellow Hudson Valley Public Health CollaborativeContributed to the Mid-Hudson Regional Health Assessment analyzing data for a 7-county region to identify health disparities and community needs.
View Regional Health Assessment →Concentration in Public Health Practice Specialized in the translation of raw health data into actionable community policy.
B.S. in Psychology (Honors) Stony Brook UniversityConcentrations in Chemistry & Biology.
The Problem: Local health departments spend countless hours manually gathering and visualizing data for their Community Health Assessments.
My Solution: Developed a dynamic dashboard using Python and Streamlit that consolidates public data sources for instant county-level visualizations.
š Launch the DashboardThe Problem: Public health inspection data is crucial for consumer safety but is often difficult to access in a timely manner.
My Solution: This application connects directly to the NYS health data API to pull and display real-time food service establishment violations.
š Explore Food ViolationsThe Challenge: Building a machine learning engine to find an edge in sports betting markets by hunting for +EV (Expected Value) opportunities.
My Approach: A custom Python engine that scrapes live databases, runs predictive models, and automates daily briefings via a Netlify-hosted dashboard.
The Fun Part: Transitioning from raw scraping to an "API-first" architecture to improve stability and data integrity for the upcoming season.
š View the Daily BriefingsIām always open to new opportunities and discussions. If you have any questions, ideas for collaboration, or just want to talk about data, please feel free to reach out.