1st class free
Xintong profile and their contact details have been verified by our experts
Xintong
- Rate ₹2,394
- Response 1h
₹2,394/hr
Contact
1st class free
- Maths
- Trigonometry
- Geometry
- Statistics
- Other sciences
University of Waterloo PhD tutor delivers actuarial math, Python, and statistics lessons for university-level students in Melbourne, Victoria, online or in-person, with years of research and industry
- Maths
- Trigonometry
- Geometry
- Statistics
- Other sciences
Class location
About Xintong
I am Xintong, a quantitative specialist committed to clear teaching, careful preparation, and respectful communication. My work is grounded in doctoral training and current industry practice, so what we cover in sessions reflects both academic standards and the way analysis is done in professional settings.
I completed my Ph.D. in Actuarial Science and Quantitative Finance at the University of Waterloo, following graduate work in actuarial science and a strong foundation in applied mathematics. I currently serve as a Graduate Quantitative Analyst in the Australian energy sector, where I build models, work with large market and time-series datasets, and support forecasting and strategy. Earlier roles in research and insurance strengthened my skills in Python, statistical modeling, and rigorous documentation—habits I bring into tutoring so that explanations stay precise and reproducible.
Students work with me when they want more than quick answers: they want structure, sound reasoning, and confidence at the whiteboard, in problem sets, and in code. I explain concepts step by step, check understanding as we go, and help you catch errors early so that exams and assignments feel manageable rather than overwhelming. I respect your time, your institution’s academic integrity expectations, and your goals—whether you are aiming to pass a difficult course, raise your grades, or prepare for quantitative roles after graduation.
If you are looking for a tutor who combines academic depth with real-world analytics experience, I would be glad to support your learning.
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About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +9
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Adult Literacy
Undergraduate
Masters
PG Diploma
PhD
Kindergarten (LKG, UKG)
- English
All languages in which the class is available :
English
My approach to tutoring
I am Xintong. My tutoring is built around clarity, structure, and practice. I begin from what you already know, then connect ideas in small steps so definitions, notation, and code stay aligned. In quantitative subjects, I emphasize both intuition (what the model or line of code is doing) and procedure (how to set up a problem, implement it in Python or a spreadsheet-style workflow, and check the result). You can expect a mix of worked examples, short exercises during the session, and guidance on how to debug errors and read outputs critically rather than only chasing the final answer.
Techniques and methodology
Diagnostic start: identify gaps in prerequisites (algebra, probability, programming basics) before adding new material.
Problem-driven learning: use questions drawn from coursework, past papers, or realistic mini-projects so skills transfer to exams and assignments.
Active practice: you explain your reasoning; I ask guiding questions, correct misconceptions early, and show standard patterns (e.g., structuring a script, validating data, interpreting diagnostics).
Code and analytics: where relevant, I teach reproducible habits—clear variable names, checking dimensions, plotting to sanity-check results—consistent with professional analytics work.
Pacing: difficult topics are split into short segments with quick checks, so we do not move on until the current step is solid.
Typical lesson length
Sessions are usually 60 to 90 minutes, depending on your goals and stamina. Shorter 45-minute sessions can work for targeted questions; two-hour blocks are possible for intensive revision before assessments, by arrangement.
Qualifications and experience as a tutor
I hold a Ph.D. in Actuarial Science and Quantitative Finance from the University of Waterloo, along with prior graduate training in actuarial science and applied mathematics. Professionally, I work as a Graduate Quantitative Analyst in the Australian energy sector, building analytical models and working with large time-series datasets for research, forecasting, and strategy. My background also includes research assistant roles involving Python, machine learning, and financial modeling. That combination—doctoral-level theory plus current industry analytics—shapes how I teach: rigorous, applied, and oriented toward how quantitative methods are used in practice.
Who my lessons are for
I work mainly with university students and advanced learners (typically late secondary through postgraduate) who study or plan to work in areas such as actuarial science, quantitative finance, statistics, business analytics, data science, engineering mathematics, or economics. I can support course content, assignments (within your institution’s academic integrity rules), exam preparation, and project coding. If you are an early undergraduate or returning to study after a break, we can start with foundational probability, linear algebra, or Python and build upward. Age is less important than your goals and prior preparation; we align the level to your program and deadlines.
I look forward to helping you build confidence and precision in quantitative work.
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Rates
Rate
- ₹2,394
Pack prices
- 5h: ₹10
- 10h: ₹20
online
- ₹2,394/hr
free classes
This first free class with Xintong will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
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