I’m a data scientist and machine learning engineer with experiences in financial modeling, analytics, interactive visualizations, and predictive modeling. For a living, I get to solve problems with data… Life is good!
Data Science & MLOps
I initially got into data science to advance my financial modeling skills and found myself developing time series forecasting models with algorithms like XGBoost and Prophet. Shortly after pivoting to healthcare insurance, I became enamored with developing ultra-fast, enterprise-grade Shiny web apps.
Today, I lead machine learning initiatives that enhance healthcare quality and customer experience for over 28 million members. I architect scalable ML solutions, empower junior team members to deliver value-driven software, and equip our data professionals with tutorials and technical documentation.
On any given day, you’ll find me working with the RStudio IDE, Databricks, Posit Connect, JupyterHub, Docker, tidymodels, Arrow, DuckDB, and more.
Languages
My daily languages include R, Python, SQL, and Bash, but my preferred language is R. I use R for a wide range of work including ML/AI model development, package creation, communication with data warehouses and REST APIs, automation pipelines, interactive apps, and websites (for example, this site was built with R + Quarto).
Data Science Communities
There are a plethora of online and in-person data science communities to learn from and share your own experiences. Online communities for open-source languages and data science are incredibly welcoming and below are my favorites: