My Teaching Philosophy in a Nutshell

I strongly believe in the ability of the human brain to learn and grasp anything with consistent effort. In order to bring the best out of my students in the fields of statistics, computer science, mathematics, and data science, I try to convey my enthusiasm in my lessons and show how these domains are impacting the world around us every day. By teaching content that is engaging and focusing on the how and why we do things in this manner rather than just memorizing how to solve an equation or code a problem, it empowers the students to be critical thinkers. Striking a balance between the big picture, the underlying mathematical concepts, and the practical implementation is crucial for a learner’s journey in these domains, and I try to do just that for my students.

Teaching Experience (University of Toronto)

• CSC411 - Machine Learning

  Teaching Assistant, University of Toronto, Department of Mathematical and Computational Sciences, 2021

• STA238 - Data Analysis II

  Teaching Assistant, University of Toronto, Department of Mathematical and Computational Sciences, 2021

• STA218 - Statistics for Management

  Head Teaching Assistant, University of Toronto, Department of Mathematical and Computational Sciences, 2021

• STA130 - Introduction to Data Science

  Teaching Assistant, University of Toronto, Department of Mathematical and Computational Sciences, 2020

• STA107 - Probability and Reasoning

  Teaching Assistant, University of Toronto, Department of Mathematical and Computational Sciences, 2020

• MAT223 - Linear Algebra I

  FSGs Leader, University of Toronto, Department of Mathematical and Computational Sciences, 2020

• CSC108 - Introduction to Programming

  FSG Leader, University of Toronto, Department of Mathematical and Computational Sciences, 2020

Please visit the links for more information on the relevant courses.