I'm a data scientist. I enjoy building machine learning solutions to solve all sorts of problems. I'm particularly interested in the connection between machine learning, decision science and optimization. Currently, I'm working as a Machine Learning Scientist at PayPal.

• 🔭 I’m currently working on:
  • Sharpening my data structures and algorithms skills
  • Learning about some of the crazier and less known Python "ins and outs" like metaclasses, descriptors and coroutines
  • Trying to keep up with the latest in AI, especially LLMs!
  • Getting a better understanding of the Recommender Systems literature
  • Revamping my personal portfolio
• 🌱 I’m currently learning the basics of MLOps, Recommender Systems, Bayesian Statistics and uncertainty quantification for ML (especially conformal prediction!)
• ⚡ Fun fact: in a past life, I played the drums in a band 🥁

• Shellper - a quick-and-dirty command line tool to get GPT to help you with Linux shell commands
• A scikit-learn compatible package for subset selection
• Bayesian Mini Case Studies
  • Intro to Bayesian Stats
  • Intro to MCMC
• Forecasting Energy Demand in California
  • Exploratory Analysis
  • Forecasting with Prophet
  • Forecasting with GAMs

Here is my personal website for more stuff!