I have an academic background in biology and environmental engineering. Recently, I have been learning some Python and JavaScript, focusing mainly on web development. I enjoy creating things using these two languages, which seem capable of building just about anything.

My other interests include economics, public health and life sciences research. I’ll write about some of these topics when I know enough to be competent, otherwise I’ll stick to summarizing the views of others.

Web Projects

I’m mostly familiar with Python and Flask for web development along with tools like Postgres and SQLAlchemy. I’m also comfortable with JavaScript, and have used tools like React and D3.js for visualizing data.

A Flask web application for checking your email via text message. [source]
A Flask application that scrapes websites, indexes them, and creates a graph visualization of the linking structure. [source, demo]
React Todo:
A simple todo app written with React, Node, Express and Ajax. [source, demo]

Data Projects

I enjoy asking questions and trying to answer them with data. My tools of choice are Python, Jupyter Notebooks, Pandas, Matplotlib, D3.js, Requests and Beautiful Soup. Most of these projects would be considered “data analysis” rather than “data science”.

Jupyter Notebooks:
I have a number of notebooks on Jupyter NBViewer outlining most of the work I’ve done: [source]
Blog Posts:
I have summaries of most of the above notebooks on my blog.
I’m a fan of using D3.js to create interactive visualizations. A few of them are here: [demo]