My coding journey didn't start the 'traditional' route of a obtaining a computer science degree with an internship out of college. Instead, after playing baseball in college and studying Business Management, I went into sales. I liked it and found success, but I found myself doing it because I was good at it, not becuase I liked it. This professional impass led to finding more (or getting deeper into current) hobbies. In a twist of what I have come to see as 'fate', I first opened Anaconda's python IDE after searching for a way to do better research of my favorite professional baseball players/teams. I found that statistical analysis of Big data could be handled and computed with multiple analytical techniques to find 'hidden'(or harder to compute), insight that statistics can unveil. From my first print() call, I was a kid in a candystore, diving into a vast ocean of applicable, problem-solving technology that seems to have no end to the possibilities of its applications. I was devouring anything I could get my hands on, Module documentation, stackoverflow.com/reddit/insert newest social coding platform here, or taking online certification courses. I was truly a chicken with its head cut off, as I had the right drive, just the wrong direction. After gaining some invaluable insights from some mentors, I finally found a proper way to attack a new problem or quandry I wanted to solve. Below is some of the results of those properly directed endevours and statistical studies