My name is Eric Johnson. I live in Colorado, USA.

 

I wrote this site to help me:

1. Present some portfolio items.
2. Learn more about programming, math, machine learning and data science.
3. Get more practice presenting information and techniques to other humans.
4. Discover and present things about the world using analytic methods.

Hopefully the content on this site can help you too.

This site will be focused on applications related to data science. Right now though the content is more typically numerical analysis. First I have a bunch of algorithms, proofs, and interesting problems to post related to numerical PDEs, linear algebra and dynamics.

Tools:

• Python: An incredibly useful programming language! I use Python for everything including Machine Learning applications.
• R: A very powerful programming environment for statistical analysis.
• MongoDB, SQL, and Elasticsearch: Databases are central to the back-end environments to make data science applications useful.
• AWS: Serverless environments are amazing tools for data science.
• Matlab: an excellent package for doing work with vectors and matrices. My graduate work was written in Matlab - so it is one of the languages I am most comfortable using.
• Mathematica: excellent for a variety of things. The symbolic math functionality in Mathematica is unparalleled. The Mathematica language also excels at producing great web applications. Check out http://demonstrations.wolfram.com/
• Sympy: An amazing symbolic math library for Python. I will post some things done with it soon.
• LaTeX: the ONLY way to get mathematics to print correctly. If you are serious about producing professional-looking mathematics, LaTeX is the best way to get it done.
• MathJax: used to render math on this site. The math is actually written in LaTeX.
• yED : a very nice program for creating graphs.
• Fluke 87v: my default digital multimeter.
• Amprobe 54-NAV: my ammeter. Also a digital multimeter. Useful and trustworthy but not as accurate as the Fluke 87v.
• Rigol DS1054Z: oscilloscope. This is probably the best-in-class for oscilloscopes that are less than $1000.
• Digilent Analog Discovery Kit a really nice USB oscilloscope I bought while a graduate student. I'm using it now as a function generator.
• Solidworks: my tool of choice for design.
• Ubuntu: my default operating environment.

The reason for the electrical equipment being listed here will become clear as I post more items. I often use the oscilloscope to turn continuous electrical information into a dataset. For example, I'll be posting an analysis of what a 'TENS' unit (one of those electrical shock medical things) does. Multimeters and oscilloscopes are crucial for doing any serious electrical engineering experiments or troubleshooting equipment.

About me:

I am a numerical analyst turned data cruncher. I have a bachelors of arts in Computational Linguistics from The Ohio State University. I have a Masters Of Science in Applied Mathematics from Washington State University. My advisor was Dr. Kevin Cooper. My graduate work involved performing numerical analysis on a nonlinear particle physics problem. I have been working at Denovo as an analytics engineer since 2018. Unfortunately I cannot post any of that work on this site.

Some of my other interests include music composition, photography, building analog synthesizers, design and electric guitars.