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 frameworks and algorithms like XGBoost, Prophet, TensorFlow, and H2O. Shortly after pivoting to healthcare insurance, I became enamored with developing ultra-fast, enterprise-grade Shiny web apps. Today, I spend most of my time developing and deploying ML models that improve healthcare quality for over 25 million individuals. On any given day, you’ll likely find me working with the RStudio IDE, git automation, Quarto, Databricks, tidymodels, Docker, Apache Arrow, and DuckDB.
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 package and ML/AI model development, communication with databases and data lakes, automation pipelines & workflows, web app development, and website development (for example, this website 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: