As a Master of Science candidate in Financial Engineering at Columbia University and a Mathematics graduate from the University of Texas at Austin (GPA 3.95), I bring a rigorous, first-principles approach to the subjects of mathematics, statistics, and computer science. My educational journey has been defined by a deep exploration of the "why" behind complex formulas, ranging from Stochastic Calculus and Linear Algebra to Discrete Mathematics and Python-based Financial Modeling. I believe...
As a Master of Science candidate in Financial Engineering at Columbia University and a Mathematics graduate from the University of Texas at Austin (GPA 3.95), I bring a rigorous, first-principles approach to the subjects of mathematics, statistics, and computer science. My educational journey has been defined by a deep exploration of the "why" behind complex formulas, ranging from Stochastic Calculus and Linear Algebra to Discrete Mathematics and Python-based Financial Modeling. I believe that true mastery of a subject comes from bridging the gap between abstract theory and real-world application, a philosophy I bring to every tutoring session.
My teaching experience spans over three years of working with diverse students, ranging from high schoolers mastering AP Calculus to university peers navigating advanced engineering and data science coursework. During my time at UT Austin and now at Columbia, I have conducted one-on-one sessions and group workshops focused on breaking down high-level concepts into digestible, logical steps. Whether I am helping a student prepare for the SAT/GRE or guiding an undergraduate through the complexities of Econometrics and Differential Equations, my method remains the same: I identify the specific "bottleneck" in a student's understanding and rebuild their intuition from the ground up.
I specialize in helping students who feel overwhelmed by the density of quantitative material. By utilizing a "Big Picture" intuitive approach combined with rigid technical hardening, I ensure my students don't just memorize formulas but learn to think like engineers and mathematicians. My background includes extensive experience in Python, C++, and data structures, which allows me to assist students who are looking to apply their mathematical skills to computer science and algorithmic thinking. I am committed to helping my students achieve not only their academic goals but also the confidence required to tackle the next level of their education with sovereignty.
