A data analyst with a public-health background.
How I got here and what I care about in the work.
My background started in public health and research, where careful data handling and clear interpretation mattered every day. That naturally pulled me toward analytics, publication support, and technical problem solving.
Now I am building on that foundation through graduate study in data science while continuing to sharpen the practical side of the work: Python, SQL, visualization, statistics, and projects that need both structure and follow-through.
- Location
- New York City
- Current focus
- M.S. Data Science, Pace University
- Prior role
- Mount Sinai — Simon Lab
- Core tools
- Python · SQL · SAS · R
- Publications
- 8 across immunology
How I Work
What I try to bring to every project, whether it is analysis, publication support, or a self-contained build.
Analytical depth
I like taking messy source data and turning it into work that is reproducible, explainable, and easy for other people to use.
Research communication
A strong analysis only goes so far if the figure, writeup, or handoff does not make sense to the next person in the room.
Cross-functional execution
I am comfortable moving between analysis, documentation, dashboards, and project support when that is what helps the work move forward.