My journey with data began as an athelete. Baseball is the mathematicians sport, where the sheer number of games, at bats, and other measurable trials influence the statistical normality of the sport. As I played, I reveled in the statistics. I loved that the previous information informed our decisions and helped formulate successful strategies. As a college student, I was fortunate enough to further explore these mathematical realms and my professors gifted me with further tools to explore. With my deeper understanding of mathematics, I could create more precise models leading to more accurate predictions around the observable patterns. Thus, I found myself wondering about the greater applications of these patterns, especially in the business world. My thoughts began with a few simple assumptions: humans like patterns; humans behave under patterned conditions; humans create data; thus, data has patterns. Therefore, businesses can make informed decisions and market and sell to the patterned behavior of humans displayed in the data created. I understand that this is a very new field in the business world and I hope to demonstrate with sound methods and results that it is a very important and relevant field for young scientists and mathematicians to apply their skills to the business world leading to more efficient and sound decisions in the future.
Listed skills include Research, Python, Mysql, Tableau, and 34 others.