Yannik - Maths tutor - Richmond
Yannik - Maths tutor - Richmond

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Yannik will be happy to arrange your first Maths lesson.

Yannik

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Yannik will be happy to arrange your first Maths lesson.

  • Rate 2,694 BWP
  • Response 1h
  • Students

    Number of students Yannik has accompanied since arriving at Superprof

    50+

    Number of students Yannik has accompanied since arriving at Superprof

Yannik - Maths tutor - Richmond
  • 5 (34 reviews)

2,694 BWP/hr

Contact
  • Maths
  • Statistics
  • Quantitative methods
  • Calculation

PhD-trained statistician (Berkeley), Harvard Math honors graduate, and former Google data scientist helping students master math, statistics, and CS with clarity and confidence.

  • Maths
  • Statistics
  • Quantitative methods
  • Calculation

Lesson location

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Yannik will be happy to arrange your first Maths lesson.

About Yannik

I help students build a rock-solid foundation, gain real confidence, and develop the kind of problem-solving intuition that leads to lasting success—not just higher grades.

My goal isn’t simply to help you “get through” statistics or math. It’s to make the material finally click, so you can reason clearly, explain ideas confidently, and apply concepts correctly under pressure—whether that’s on exams, in research, or on the job.

I hold a PhD in Statistics from UC Berkeley and a Bachelor’s degree in Mathematics, cum laude with honors, from Harvard. While at Berkeley, I taught multiple statistics courses, including statistical inference, probability theory, and optimization. My academic and professional expertise spans applied statistics, probability theory, theoretical statistics, stochastic processes, biostatistics, actuarial science, machine learning, and optimization.

My background in mathematics is both deep and long-standing. As a high school freshman, I won first place in the senior division of the Kanto Plains Math Field Day, the premier math competition for international and DoDEA schools in the Tokyo metropolitan area. This was an early indicator of the competitive and conceptual strength that has carried through my academic and professional career.

Professionally, I am a data scientist at Google, where I work on real-world problems involving data mining, time-series analysis, causal inference, and hypothesis testing. This allows me to connect abstract theory to how statistics is actually used in industry and research—something most textbooks never show.

I have also been tutoring students and professionals in statistics for over 10 years, and have consulted researchers on the statistical components of their work during that time. Most recently, I supported a PhD candidate with ANOVA-based hypothesis testing for her psychology dissertation, which was successfully published.

What sets my teaching apart is how I explain difficult ideas. I teach using storytelling and intuition-first explanations so concepts feel natural instead of intimidating.

For example, why do we say we “reject the null hypothesis” when a p-value is small?

Imagine this: Lionel Messi is vastly better at soccer than you. Now suppose you beat him one-on-one ten times in a row. The probability of that happening by chance is astronomically small. At that point, you’d reasonably question the original assumption (the “null hypothesis”) that Messi is the better player—unless there’s another explanation, like him deliberately taking it easy. That is hypothesis testing.

By grounding ideas in familiar, concrete scenarios, students don’t just memorize rules—they understand them. And once you understand something, you don’t forget it.

I also tutor mathematics and computer science up to the undergraduate level. Upon special request, I provide preparation for the SAT and ACT math sections.

Standardized Test Scores:
SAT I Math: 800/800
SAT II Math: 800/800
ACT Math: 36/36
GRE Quantitative: 169/170
SOA/CAS Exam P (Probability): Pass
SOA/CAS Exam FM (Financial Mathematics): Pass

More information is available at (concealed information)

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About the lesson

  • Early Childhood education
  • Primary
  • Junior Secondary
  • +9
  • levels :

    Early Childhood education

    Primary

    Junior Secondary

    Secondary School

    Première

    Standard 7

    Adult Training

    Supérieur

    Diploma

    Master's Degree

    Doctorate

    MBA

  • English

All languages in which the lesson is available :

English

I help with homework, tests, systems development, presentations, dissertations and data analysis in any of the major statistical packages: R, Mathematica, Matlab, SAS, Stata, SPSS as well as statistics & optimization libraries of Excel. I also help with Python. I work with all types of clients from high school students to undergraduate students to full professors in other fields. Selected areas of expertise: Regression analysis, hypothesis testing, machine learning, advanced probability theory, mathematical statistics, time series, econometrics Secondary areas: Calculus, discrete math such as combinatorics and graph theory, linear algebra, real analysis, complex analysis, convex optimization

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Rates

Rate

  • 2,694 BWP

Pack prices

  • 5h: 13,472 BWP
  • 10h: 26,943 BWP

online

  • 2,694 BWP/h

Travel

  • + 100 BWP

Find out more about Yannik

Find out more about Yannik

  • When did you develop an interest in your chosen field and in private tutoring?

    I've been interested in math since I was a five year old. I remember one day I was at home watching The Price is Right game show and I became fascinated by the numbers on display. My interest went into overdrive by middle school. I got exposed to topics outside of the standard MS/HS math sequence that piqued me further. For example, I read this book
    Geometry Revisited as a freshman and became fascinated by how concepts were so connected. I got into statistics in undergrad after taking a probability class and ended up completing my PhD in statistics, which is now my forte.
  • Tell us more about the subject you teach, the topics you like to discuss with students (and possibly those you like a little less).

    I mainly teach statistics, but I can also teach mathematics and computer science at an advanced level. I like demonstrating that statistics and math aren’t as scary as everyone says.
  • Did you have any role models; a teacher that inspired you?

    My role models are my parents and myself. I think I’ve done a lot to be where I am today and I deserve my success. Some others who have inspired me include the following:
    - Dr. Joe Blitzstein from undergrad
    - Ms. Johnson (RIP) from middle school who sparked my interest in math and got me to join Mathcounts
    - Dr. Peter Bartlett who was my PhD advisor
    - Ms. Jada Golden “Educator at Large”, one of the most sought after teachers in the US, who has been an excellent mentor and taught me how to manage the personal relationships between me and my students
    - Satoshi Suga who has gone beyond tutoring to running full-scale enrichment programs
    I've been very lucky to have patient teachers and advisors in my life.
  • What do you think are the qualities required to be a good tutor?

    Knowledgeable to the level where one can ask good “leading questions” that make the student think, patient, encouraging.
  • Provide a valuable anecdote related to your subject or your days at school.

    During my doctorate program, I was stuck on proving a crucial conjecture for my dissertation. I spent weeks, if not months, on it, but couldn't seem to get anywhere. Frustrated, I decided to take a break and play futsal one day. Surprisingly, during the game, I had an epiphany about the problem. The strategy and patterns in futsal helped me see the research problem in a new light. This taught me a valuable lesson about looking at challenges from different perspectives. This experience shaped my approach to teaching, where I encourage students to draw connections between different subjects and hobbies to enhance their understanding of statistics and math.
  • What were the difficulties or challenges you faced or still facing in your subject?

    One of the biggest challenges I face in teaching math is addressing the varying levels of foundation among students. Some students have a strong grasp of basic concepts, while others struggle with them. This disparity can make it challenging to keep lessons engaging and effective for everyone. To address this, I've developed a tiered approach to teaching, where I provide different levels of problem sets and encourage peer-to-peer tutoring within the class. This not only helps students at different levels but also fosters a collaborative learning environment.
  • Do you have a particular passion? Is it teaching in general or an element of the subject or something completely different?

    When it comes to teaching and tutoring, my passion lies in the moment a student has the 'aha!' moment – when a concept they've been struggling with suddenly clicks. This is why I love teaching statistics (and math). The subject often gets a reputation for being tough, but witnessing students overcome their challenges and develop a love for math and stats is incredibly rewarding. I enjoy inspiring confidence and a love for learning in my students. And I especially enjoy tutoring discrete math, statistical inference, and probability.
  • What makes you a Superprof (besides answering this interview questions :-P)?

    I’m very good at what I do and I make sessions fun. But I don’t need to say that – other people can speak for me :). I received awards for my teaching skills during my time in school.
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