About

I have nearly 10 years of industry experience in the data science and analytics space, spanning a wide variety of sectors from hardware to education, specializing in natural language processing and user experience optimization, through experimentation and machine learning. I have experience working at both big tech companies such as Google, Shutterfly and Discovery Education as well as small startups in healthcare and education.

My interest in data science actually started way back during my economics coursework and research at UC Berkeley. Since then I have continued my education by taking online courses and reading through ML textbooks (if you want to learn about some my favorite resources, feel free to click the Education section).

Toolbox

I started my career in Stata and R and transitioned to Python. I frequently use both the python visualization libraries (matplotlib and seaborn) as well as statistical/machine learning packages (scikit-learn and statsmodel). I’ve written a handful of statistical functions and visualizations for evaluating online experiments in Python. For NLP, I utilize transformers and pytorch as well as other popular libraries such as spaCy and NLTK.

My Timeline

Hobbies

When I am not working on my data side projects, I like to get outdoors whether that be up to the mountains in the winter for some snowboarding or the nearest park in the summer for some Ultimate Frisbee. I also enjoy woodworking, photography and eurostyle tabletop and engine building board games (such as Terra Mystica and Brass: Birmingham).