About Me

I am Rha Overstreet, and I am a Senior at Lehigh University studying Financial Engineering in the Integrated Business and Engineering (IBE) Honors Program with majors in Industrial Systems Engineering and Finance. I expect to graduate in December 2023.

I am goal oriented, work effectively in high stress situations, and have strong attention to detail skills. Throughout my time at Lehigh I have participated in multiple machine learning in finance research projects, I have represented our Integrated Business and Engineering Honors Program as the Vice President of Professional Development, and I have become a professional proprietary trader.

Portfolio

Natural language processing 10-Ks to identify correlation with returns

Summary

In this study we compared stocks listed in the S&P500 to their stock prices after their 10-K (mandatory Securities and Exchange Commission) filling where published. The null-hypothesis for this study was “A companies stock price affected by the linguistic sentiment presented in the companies 10-K filing.” Linguistic sentiment was determined by 10 variables. 2 positive (negative) libraries created by Tim Loughran and Bill McDonald(LM), Diego Garcíaa, Xiaowen Hub, and Maximilian Rohrer(ML) respectivly, along with 3 positive (negative) categorical sentiment libraries created by myself. The sentiment score was determined by using a NEAR_regex function provided by our professor, which can be found in this project repository.

Regression Assignment on Fannie Mae Dataset

Summary

In this analysis you will see the impact different variables have on eachother and the price of a home. The variable relationships where determined by using linear regressions.

Career Objectives

Private Wealth Management at Goldman Sachs and Co.

Hobbies

Forex, Street Fashion, Calisthenics, Planet Money Podcast, 10 Minute Contrarian Podcast, and Spicy Chicken Sandwiches

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