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.
Over a decade of experience in program management and healthcare advocacy, now focused on public health data analytics. As a Public Health Leaders of Tomorrow Fellow, I worked with the Hudson Valley Public Health Collaborative on the Mid Hudson Regional Health Assessment. For a detailed resume, please feel free to reach out via email.
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, allowing for instant generation of county-level visualizations and AI summaries.
The Impact: This tool drastically reduces research time and empowers data-driven decision-making for public health initiatives.
🔍 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 the most recent food service establishment violations in real-time.
The Impact: Empowers consumers with transparent, up-to-the-minute access to food safety records, promoting accountability.
🔍 Explore Food ViolationsThe Challenge: Can you actually use data to find an edge in sports betting? This project is my answer—a passion project to see if I could build a model to beat the market.
My Approach: I built an analytics engine in Python that pits my machine learning predictions against live market odds, hunting for positive Expected Value (+EV) opportunities.
The Fun Part: The engine produces a daily briefing with clear, data-driven picks. It's my attempt to cut through the noise and let the numbers do the talking.
🔍 View the Daily BriefingsI’m 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.