Hi, I'm Jeff. I recently graduated from Princeton University studying Operations Research and Financial Engineering with a minor in computer science. Over the course of my four years at Princeton, I gained a breadth of knowledge in the fields of statistics, probability, data science, programming, and optimization.
One of my major dedications at Princeton was training and competing for the Track and Field team as a high jumper. Over the course of my collegiate career, I won the Ivy League conference title in High jump four times, achieved All-American status once, obtained the All-Academic award all four years, and captained the team my senior year. The experience on the Princeton Track and Field team taught me the importance of leadership and comradery in the pursuit of a goal.
Some of my other passions include eSports, poker, and just sports in general. In the realm of eSports, I am most familiar with the popular eSport League of Legends. Beyond playing the game, I have also performed W/L prediction analysis using raw game data.
To get in touch, locate the contact section at the bottom of the page!
This research project, completed my Senior year at Princeton, analyzed the relationship between the subreddit r/wallstreetbets with price/volume of various meme stocks like GameStop.
Check it OutIn this short project, I was able to create a fully functioning neural network purely from math and numpy. This incredibly shallow network was able to achieve over 90% top 1 accuracy on the MNIST data set.
Check it OutIn this project, I used several machine learning techniques to create the best possible classification for whether or not a flight would incur a delay.
Check it OutComputer vision is the ability for a computer to gain a high-level understanding of an image or video. This project serves as an overview for some of the modelling that goes behind computer vision.
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