I am an innately passionate third-year engineering student at Princeton University with a 3.6 GPA pursuing a B.S.E. in Computer Science with minors in Statistics and Machine Learning and Finance. I am seeking valuable internships in technology, finance, or football analytics, specifically as they intersect with machine learning, AI, and data science.As an undergraduate at Princeton, I am a student data analytics assistant and team manager for Princeton Football serving as a reliable resource to film games and practices. I am also a staff writer for the data section of the Daily Princetonian --- a student-led independent newspaper on campus --- where I write engaging and informative data articles covering interesting trends on campus explained by data. In these articles, I effectively explain complex data visualizations and trends to non-technical readers.I have always valued supplementing my hard work in the classroom with independent projects to contextualize my studies and master important technical skills. To this end, I first created a PGA Tour Analytics Project, where I practiced exploratory data analysis and data visualization with Python, eventually creating a linear regression model to predict tour earnings based on easily attainable metrics. From there, I leveraged my interest in data with my passion for football to create an ongoing Excel-based offensive scouting tool that Princeton Football’s offensive coaching staff utilize to determine their offensive tendencies to decrease predictability in their playcalling. It was here, that I found my passion for integrating data and machine learning principles into football coaching strategy and I plan to create more projects to facilitate data-aided decision-making in the world of football.Today, we are swimming in data. Machine learning and data analytics offer limitless potential in revealing patterns and trends that can inform any given decision, and I am fascinated by this potential. This fascination isn’t new — it began when I was a child, when I spent more time analyzing stats in video games than playing them. As I continue my journey at Princeton and beyond, I am eager to explore this frontier as I continue to make a meaningful contribution to the world of data-aided decision-making in my professional future.You may contact me at vincent.etherton@gmail.com.I look forward to connecting!
Listed skills include Microsoft Office, Research, Leadership, and Social Media.
