Jonathan
Graduate Teaching Assistant @Johns Hopkins Whiting School Of Engineering
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WORK HISTORY
Graduate Teaching Assistant @Johns Hopkins Whiting School Of Engineering
Baltimore, MD, US
Teaching assistant for EN.553.635 Bayesian Statistics for the Physical Sciences.Managing Canvas Course Logistics through GradeScope integration and syllabus design, designing homework and in-class exercises relevant to physical sciences, and assisting the Instructor in designing coding workshops and labs.
EDUCATION
Rutgers University - Camden
Bachelor of Science - BS, Finance and Economics
Johns Hopkins Whiting School of Engineering
Master of Science - MSE, Applied Mathematics and Statistics
ABOUT JONATHAN
As a Finance graduate with a deep appreciation for mathematics, I’m passionate about using analytical thinking to solve complex business problems. My academic journey has led me to explore and apply concepts in industrial engineering, applied statistics, operations research, and business analytics—disciplines that align with my goal of working in a data-driven, decision-focused role.Whether it’s optimizing processes, modeling uncertainty, or extracting insight from large datasets, I enjoy the challenge of breaking down real-world problems with quantitative tools.Outside of academics, I’ve been a dedicated pianist for years. Music has taught me persistence, discipline, and creative problem-solving—traits that translate directly to my approach in analytical work. I believe the same grit and attention to detail required in performance can help navigate the most demanding technical challenges.I’m excited to keep building the skills needed for a career at the intersection of business, analytics, and quantitative strategy.
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