I hold a Bachelor’s degree in Applied Mathematics and am currently pursuing a Master’s degree in Statistics at Boston University. My coursework has included calculus, linear algebra, probability and mathematical statistics, regression analysis, time series, and foundational machine learning. I am proficient in R and Python for data analysis and visualization, and I can teach in both Chinese and English with flexible online scheduling.
I have experience providing both one-on-one and...
I hold a Bachelor’s degree in Applied Mathematics and am currently pursuing a Master’s degree in Statistics at Boston University. My coursework has included calculus, linear algebra, probability and mathematical statistics, regression analysis, time series, and foundational machine learning. I am proficient in R and Python for data analysis and visualization, and I can teach in both Chinese and English with flexible online scheduling.
I have experience providing both one-on-one and small-group tutoring, mainly for university students and working professionals seeking to strengthen their understanding or prepare for exams. My sessions typically start with a diagnostic assessment to identify weaknesses and goals. I emphasize conceptual understanding and visualization, then break down examples step by step and reinforce learning through targeted exercises and feedback. For programming-related content, I integrate code explanations with statistical concepts, offering reproducible notes and detailed feedback to help students bridge the gap between “knowing how to solve problems” and “applying methods effectively.”
If you’re aiming to improve your grades, prepare for AP or university-level statistics, or apply R/Python in projects, I can create a personalized study plan—for example, one or two sessions per week (60–90 minutes each) with periodic reviews—to ensure consistent progress within a measurable time frame.
