I am a graduate of the Georgia Institute of Technology, more often known as Georgia Tech. I received my Bachelor of Science in Economics with a minor in Mathematics in 2008. I then completed a Master of Science in Economics in 2010. I had official and unofficial teaching experience during both degrees, teaching Survey of Calculus, Econometrics, and Economic Forecasting. After graduating, I have mostly been a software developer, working mostly on algorithms, primarily in C++ and Python, but also MATLAB, VBA, and Javascript. I have always loved teaching, and my original plan was to pursue a PhD in order to become a professor. I have always had a knack for breaking down material in a way that is comprehensible to the student. In fact, when I had to fill in for the lead professor in Econometrics for two weeks, the students said to me, "We've learned more from you in two weeks than we have from the professor all semester." As a working professional, I have sometimes had the opportunity to teach my colleagues about a particular piece of code or a particular algorithm, but I also got the opportunity to teach full-time during the summer of 2016 at General Assembly, where I taught Data Science, which included many supervised and unsupervised machine learning techniques, Python's Pandas (PANel DAtaSet) package, and a bit of database management. I am excited about getting the opportunity to teach again.