“What looks like talent is often careful preparation. What looks like skill is often persistent revision.”
I am an engineer, analyst, and full-stack developer with a strong curiosity in the convergence of math, science, economics, and technology.
My experience includes working for one of the world's oldest and most successful corporations in ExxonMobil.
I also have a strong academic background with degrees from the University of Colorado and the University of Notre Dame.
I am an engineer, analyst, and full-stack developer with a strong curiosity in the convergence of math, science, economics, and technology.
My experience includes working for one of the world's oldest and most successful corporations in ExxonMobil.
I also have a strong academic background with degrees from the University of Colorado and the University of Notre Dame.
"The fight is won or lost far away from witnesses - behind the lines, in the gym, and out there on the road, long before I dance under those lights."
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"Experience is a dear teacher, but fools will learn at no other."
I have an analytical mindset and a strong interest in math. This led me to the University of Colorado where I studied Mechanical Engineering as an undergraduate.
Much of my time at CU was spent in the UNIX workstation lab building 3D models, computing stress and strain of mechanical systems, and modeling temperature gradients and fluid flow. To accomplish all of this, I used high-level cutting-edge software like Finite Element Analysis (FEA), Computer-Aided Drafting (CAD), computational fluid dynamics (CFD), and Matlab.
One of my favorite courses at CU was an introduction to Computer Science course which taught us the fundamentals of Data Structures and Algorithms through programming in C++.
It was impossible to see my future career at the time. However, my time spent in the computer lab laid a strong foundation in analysis, data, and computation. As my career developed, my focus shifted from mechanical systems to utilizing software to solve all kinds of problems.
Early in my career, I recognized how finance and economics are essential for good decision making. I also saw that the Achilles heel of otherwise good engineers is a lack of understanding in these areas. My interest in economics was piqued, and I began to sense the tangible advantages in disciplined investment analysis.
At this time, the world began to change in a big way. The financial industry was entering the era of ‘big data’ and was calling for analytical skills and computing savvy. Given my technical background and interest in economics, getting an MBA was an unexpected next step for me.
At Notre Dame, I found a wonderful community of disciplined, intellectually curious learners. At this great institution, I was exposed to financial thinkers like Warren Buffett and became fascinated by investing and building economic prosperity.
After a wonderful stretch of experience working in the energy industry and developing a strong analytical toolset, I decided once again to augment my experience with education in tools like machine learning.
I am currently working towards a masters degree in Computer Science, on a part time basis, with the University of Texas in Austin.