Writing
From Raw CMS Claims to an Explainable Benchmarking Engine
This project shows how I built an end-to-end healthcare benchmarking engine that turns raw CMS Medicare provider-service data into expected-cost predictions, guarded anomaly worklists, provider risk tiers, and an interactive Shiny dashboard for investigating over-expected billing patterns.
From Legacy to Pro: How I Rebuilt My Finance Analytics App to Scale with DuckDB, S3, and Python Shiny
This project shows how I rebuilt a Python Shiny finance app with DuckDB, S3, and query-on-demand design to make it more scalable, faster, and better suited for richer market analysis.
The Moneyball of Real Estate: Ames housing price prediction
This project applies various ML techniques to the Ames housing dataset to uncover the true drivers of real estate value—essentially playing “Moneyball” with property prices.
Learn About Markets with a Python Shiny Stock App
This project explores financial market trends and portfolio simulation through an interactive Python Shiny application.
Mental Health in Tech: 2014-2023 Trends That Matter
Analyzing nearly a decade of survey data, this project highlights critical trends and shifts regarding mental health within the tech industry from 2014 to 2023.
Mental Health in Tech: Which Workplace Policies Work?
This project explores which workplace policies are most strongly associated with mental health treatment-seeking among tech employees.