I am currently a Computer Science student at the University of Texas at Arlington, where I have built a strong foundation in STEM through courses such as College Algebra, Trigonometry, Precalculus, Calculus I & II, Linear Algebra, University Physics 1 & 2, Engineering Probability, Discrete Mathematics, Data Structures & Algorithms (in C and Java). My learning style is top-down and intuition-first: I want the big picture, purpose, and conceptual understanding before diving into formulas or...
I am currently a Computer Science student at the University of Texas at Arlington, where I have built a strong foundation in STEM through courses such as College Algebra, Trigonometry, Precalculus, Calculus I & II, Linear Algebra, University Physics 1 & 2, Engineering Probability, Discrete Mathematics, Data Structures & Algorithms (in C and Java). My learning style is top-down and intuition-first: I want the big picture, purpose, and conceptual understanding before diving into formulas or details, and I organize ideas into frameworks that connect everything together. I rely on intuition, visualization, and “why it works” rather than memorization, and deepen understanding iteratively by checking for knowledge gaps through practice problems.
Although I have no experience tutoring, I majored in CS because I enjoyed teaching myself how to code in Python during a summer at Dallas College. Being self-taught helped me at UTA and can be applied to tutoring (like breaking things down step by step). I believe it's best to adapt to each student’s learning style, as one size doesn't fit all. I myself used to be tutored a lot, so I can relate to struggling in class. Because of this, my goal is to help students feel confident approaching problems on their own, viewing learning as a skill that can be improved, so that they don't view themselves as fixed or "slow".
