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Tutor profile: John Z.

John Z.
Applied Math Phd at UCLA


About John

About John
I am an Applied Math PhD at UCLA, and graduated Summa Cum Laude from UPenn. For teaching, I am very to the point, and like discussing fundamental components first, as I want students to achieve a deep understanding of the material. For styling my lesson plans I like to see what a student needs help with first, and then I design lesson plans on topics that I believe will be helpful for the student. I believe what sets me apart as a tutor is my mathematical experience, and that I believe having students feel confident about their abilities is a...

Teaching Experience

Teaching Experience
I was a TA for a Python with Applications II class at UCLA, leading discussions of around 30 students, and also was a TA for an Artificial Intelligence class at UPenn. I was an Assistant Instructor for the Olga Radko Endowed Math Circle, where I prepared students for competition-style math problems. Finally, I have also tutored before for both high school and college students. I feel confident tutoring any level of mathematics or computer science up to but not including the graduate school level.
University of California - Los Angeles
Applied Mathematics
Doctor of Philosophy (Ph.D.)
2020 - 2025
University of Pennsylvania
Bachelor's Degree
2016 - 2020

Work Experience

Work Experience
UCLA, Assistant Instructor for Olga Radko Endowed Math Circle
2021 - 2021
• Prepared students for competition-style math problems, such as the AMC and National Olympiads, part-time class instruction under head instructor, led problem-solving groups
UCLA, Teaching Assistant for Python with Applications II
2021 - 2021
• Led two discussion sessions of 30 students teaching new course material and technical skills, including Web Scraping, Machine Learning, Tensorflow models, and topics in Computer Vision and Natural Language Processing • Evaluated and guided students through project milestones, including project proposals, presentations, and code submissions
UPenn, Tutor for CIS 160 - Mathematical Foundations of Computer Science
2019 - 2019
• Held hourly sessions tutoring college students mathematical concepts useful for computer science
UPenn, Teaching Assistant for Artificial Intelligence
2019 - 2019
• Hosted weekly office hours to help students with understanding the material, worked in a team of TAs to decide midterm concepts and best practices for presenting AI topics • Developed new R2D2 extra credit assignments revolving around Natural Language Processing


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