I hold a Bachelor of Science and a Master of Science in Statistics and Data Science, giving me a strong academic foundation across probability theory, statistical inference, regression modeling, linear algebra, and computational methods in R and Python.
My tutoring experience spans six years across multiple academic settings. At the University of Virginia, I tutored through the Statistics Department, working one-on-one with undergraduate students enrolled in statistics courses ranging from...
I hold a Bachelor of Science and a Master of Science in Statistics and Data Science, giving me a strong academic foundation across probability theory, statistical inference, regression modeling, linear algebra, and computational methods in R and Python.
My tutoring experience spans six years across multiple academic settings. At the University of Virginia, I tutored through the Statistics Department, working one-on-one with undergraduate students enrolled in statistics courses ranging from introductory probability to upper-level regression and inference. At Carnegie Mellon University, I tutored through the PLUS program, a peer-led supplemental instruction program supporting students in quantitative courses in structured small-group and individual sessions. I have also worked as a private tutor for high school students at the secondary level, helping them build foundational math skills and prepare for AP Statistics and standardized exams.
Across these settings I have worked with students ranging from high school age through undergraduate university level, in both one-on-one and small group formats. My experience covers classroom-adjacent tutoring tied to specific course curricula, as well as independent private instruction tailored to individual student needs.
The subjects I am most qualified to tutor include introductory and advanced statistics, probability, calculus, linear algebra, regression analysis, hypothesis testing, and data analysis using R and Python.
