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Yunchao - Prof math - Waterloo
$15/h
1st lesson is free!
Verified tutor profile
Response Time 24h
Lessons offered by Yunchao
  • Individual
The lessons will be held
Taught subjects
  • Math
  • Algebra
  • Trigonometry
  • Arithmetic
  • Geometry
  • Statistics
Levels
  • All Levels

Math Statistics bachelor degree students high school classes for students in Toronto

Methodology

My teaching methods are understanding the basic math concepts and some of their example questions. Secondly, summarizing several general ways to solve problems affiliated to the same knowledge point. I will use concepts based on my math classes in high school and university.

Background

I am an mathematics students. I already received my bachelor degree in mathematic statistics in University of Waterloo. My ranking in mathematic courses usually around top-5 when I was in high school and university. I give privacy math lessons to high school and university students since June 2020.

Rates

Rate for online lessons : $ 15/h
Lessons offered by Yunchao
Individual
The lessons will be held
Taught subjects
  • Math
  • Algebra
  • Trigonometry
  • Arithmetic
  • Geometry
  • Statistics
Levels
  • All Levels

Yunchao's Resume

Yunchao (Alfred) Zhang
Statistics Degree Conferred, Faculty of Mathematics, University of Waterloo (concealed information) | (concealed information) 256 Phillip Street, Waterloo, Ontario, N2L 6G9
Skills:
• Capable of using various programming language such as Python, SQL, Excel/VBA, and utilizing R for multivariate analysis.
• Proficient in MS Office and Adobe Suites.
• Effective and Efficient problem solver
• Outstanding interpersonal skills
o A respectful listener: Ability to patiently absorb other people’s opinion and developing my opinion and making optimum decision
o A clear speaker: able to communicate my ideas to precisely and concisely
• Strong execution abilities: Ability to provide multiple options of solutions when solving problems
Education:
• University of Waterloo, Waterloo, Ontario Sep 2016 – Apr 2020
o Successfully achieved the degree of Bachelor of Mathematics in Statistics Program
o Achieved University of Waterloo President's Scholarship ($2,000)
Projects and Assignments:
• Project of Accounting Class: Analyzing the Expense of a corporation that has 4 divisions in different locations
o Merging the worksheets that contain different divisions’ expenses into one worksheet by using Excel/VBA; the purpose of merging is to make comparison easier and clearer
o Applying “advanced filter” on the merged worksheet to sort the data into different groups according to data categories
o By merging the worksheets and applying “advanced filter”, the data are categorized and combined, I was able to see the trend of expenses clearly
o My approaches simplified the project on a large scale, I almost received the full mark for this project
• Evaluating the importance of a variety of factors of insured cars claims from an English insurance company
o Import the data to R and set each variable as indicator variable except factors which can be offset
o Use the claims of the insured car as response variable and fit the data to a log-linear model
o Utilize the estimation result of each parameter to predict relative rate of claims and its confidence interval
o Apply deviance test and null hypothesis test to determine whether the factors and their interaction variables is important
o p-value will be considered as the observing variable, the factor is crucial once the p-value is lower than 0.05
o Deviance test can also apply for determining the importance of parameters in each factor group
• Project of Statistic class: Forecasting future trend of time series of error of robot moving distance
o This program is about finding the range of future changing trend of error of the real robot moving distance compare to the ideal moving distance
o Import the data to R and change it to time series data, then using the ACF and PACF graph to determine whether the time series is stationary or non-stationary
o Using R to find the AR(p), MA(q), ARMA(p,q) or ARIMA(p,d,q) model which best fit the time series through comparing the lowest Akaike Information Criterion (AIC) value
o Predict the future trend of the time series though utilizing forecast function on the best ARIMA model
o My effort in this project acquired the expected effect, and the professor enough consent my overall performance and work

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