After graduating from UC Berkeley with a B.A. in Economics, I have continued my education by taking a multitude of online courses which I have listed below. I am always looking to learn new methods and algorithms that will help me come up with better solutions to my current problems.

Completed Online Courses

  • Udacity: Programming Foundations with Python (2018)
  • Data School: Machine Learning with Text in Python (2018)
  • Udacity: Intro to Inferential Statistics (2018)
  • Udacity: Intro to Descriptive Statistics (2017)
  • Udacity: A/B Testing (2017)
  • Udacity: How to Use Git and Github (2016)
  • Stanford Online: SQL (2016)
  • Udemy: Javascript - Understanding the Weird Parts (2015) [40%]
  • Edx: Supply Chain and Logistics Fundamentals (2015) [30%]
  • Codeacademy: How to use APIs with Python (2015)
  • Udemy: Ultimate Guide to Funnel Optimization (2014)
  • Udemy: SQL Database for Beginners (2014)
  • Coursera: Stanford’s Machine Learning (2013)
  • Coursera: Johns Hopkins Data Analysis (2013)
  • Coursera: Johns Hopkins Computing for Data Analysis (2013)


  • O’Reily’s: Interactive Data Visualization for the Web: An Introduction for Designing with D3 (2017-2018) [40%]
  • O’Reily’s: Hands-On Machine Learning with Scikit-Learn and TensorFlow (2017-2018) [20%]
  • Springer: Applied Predictive Modeling (2018) [20%]
  • O’Reily’s: Natural Language Processing with Python (2017) [33%]

Current Non-Technical Book Favorites

  • Dear Data by Giorgia Lupi & Stefanie Posavec
  • Tuesdays with Morrie: An Old Man, A Young Man, and Life’s Greatest Lesson by Mitch Albom