About Me

Tulum, Quintana Roo, Mexico - The second happiest place on Earth, after Disneyland


My career includes over 15 years of data science, financial strategy, and business analytics for EY, PG&E, KPMG, Centene, and Bloomreach. I use the R and Python programming languages on a daily basis but am much more advanced with my R work. My teams apply data science techniques to empower decision makers with descriptive, predictive, and prescriptive analytics. I help bridge the gap between business needs and IT to develop and deploy automation solutions, predictive algorithms, and interactive web apps.

Scatter Podcast

In 2019, I launched Scatter Podcast to share career tips and insights from data science leaders for students, business managers, and professionals looking to pivot into data science. It was a fun and incredibly rewarding side project but after 30 episodes, I started to feel fatigued with the amount of time it took to plan, record, edit, market, etc. The podcast is on hold but not dead!

Programming & Analytics Skills

  • R: tidyverse, tidymodels, Quarto, Shiny, Plotly, Leaflet, Prophet, xaringan, XGBoost, Ranger, and many more
  • Other Analytics & Programming Platforms: Python, Jupyter Notebooks, h2o, GitLab / GitHub, RStudio Connect, AWS S3, AWS Redshift, Google Cloud Platform, BigQuery, SQL, Netlify
  • Microsoft: Expert-level Excel financial modeler with experiences including nested formulas, XLOOKUPs, Solver for optimization and simulations (yes… in Excel!), macros for psuedo-automated data manipulation, add-in integrations, and more

Media Appearances