Alireza - Maths teacher - Toronto
1st class free
Alireza - Maths teacher - Toronto

Alireza profile and their contact details have been verified by our experts

Alireza

  • Rate ₹3,491
  • Response 1h
  • Students

    Number of students accompanied by Alireza since their arrival at Superprof

    1

    Number of students accompanied by Alireza since their arrival at Superprof

Alireza - Maths teacher - Toronto
  • 5 (4 reviews)

₹3,491/hr

1st class free

Contact

1st class free

1st class free

  • Maths
  • Algebra
  • Arithmetic
  • Statistics

PhD Econ (TMU) | Lecturer. Taught in a business school and at the graduate-level economics at TMU. I tutor micro/macro (UG & grad), econometrics (Stata/R/Python), and university math (Calculus I–II, D

  • Maths
  • Algebra
  • Arithmetic
  • Statistics

Class location

Recommended

Alireza is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Alireza

I’m Alireza—an Economics PhD candidate at Toronto Metropolitan University and a university lecturer with nearly two years of teaching experience at Algoma University’s business school and at TMU (including online delivery). I’ve taught and supported students across graduate-level economics (micro, macro, econometrics) and university mathematics (Calculus I–II, Discrete Mathematics, Linear Algebra), and I specialize in turning difficult concepts into clear, step-by-step methods you can use on assignments and exams right away.

What I teach

Economics: Micro (UG & Grad), Macro (UG & Grad), Econometrics, Time Series, Public/Health Economics basics

Math for Econ/Business: Calculus I–II, Linear Algebra, Discrete Mathematics, Probability/Statistics

Empirical skills: Stata, R, and Python for data cleaning, regression, visualization, and reproducible workflows

Teaching approach

Problem-driven & exam-ready. We start from your syllabus, past tests, or problem sets and build the solution method from first principles. I show the quickest correct approach and common pitfalls, then we practice with variations so you can handle curveballs.

Intuition + method. I combine graphical/economic intuition with formal steps (definitions, theorems, conditions) so you know why a solution works and how to replicate it under time pressure.

Active learning. Short, low-stakes checks (1–2 minutes) during the lesson ensure we fix gaps immediately rather than discovering them the night before the exam.

Efficient notes. I provide tidy, structured notes (or annotated screenshots) with boxed formulas, solved exemplars, and a mini-checklist for each topic.

How a typical session works

Quick diagnostic (5–10 min): You show me the exact topics/questions giving trouble.

Targeted walkthrough (30–40 min): I model a clean solution path, highlighting assumptions and shortcuts.

You drive (20–30 min): You solve parallel problems while I coach and correct.

Wrap-up (5 min): A concise recap + a short practice set for confidence between sessions.

For grad students / thesis & projects

Topic scoping, data strategy, variable definitions, and literature positioning

Stata/R/Python: do-files/scripts, robust standard errors, panel/time-series workflows

Reproducibility: project folders, versioned code, and figure/table pipelines

Formats & availability

Online (preferred) with interactive whiteboard and shared documents

Toronto-area in person may be possible by arrangement

Flexible scheduling; intensive exam prep blocks available

Results you can expect

Clear procedures for each topic (what to write first, how to structure proofs/derivations, which checks to do)

Faster, more reliable problem-solving under time limits

Stronger understanding that carries from homework to midterms/finals—and to advanced courses

If you’re tackling micro/macro theory, econometrics code, or a tough math unit, I’m happy to help. Send your syllabus or sample questions, and we’ll build a focused plan to get you confident and exam-ready.

See more

About the class

  • Class 10
  • BTech
  • Class 11
  • +5
  • levels :

    Class 10

    BTech

    Class 11

    Adult Literacy

    Masters

    MBA

    Kindergarten (LKG, UKG)

    PhD

  • English

All languages in which the class is available :

English

Before we meet

Send me your syllabus, topics, past exams/assignments, and (if relevant) code or datasets (Stata/R/Python).

I’ll map a mini-plan: key learning goals, the exact problems we’ll tackle, and a short checklist.

How a typical session runs (60–90 minutes)

Warm-up (5–10 min): quick diagnostic to pinpoint gaps and pick the right starting problem.

Guided walkthrough (25–35 min): I model a clean, exam-ready method (definitions → steps → checks) and show common pitfalls.

You drive (25–35 min): you solve parallel questions while I coach, correct, and shorten your steps.

Speed check (5–10 min): timed mini-problem to build exam rhythm.

Wrap-up (5 min): you leave with a one-page recap (key formulas, steps, and “red flags”) + a short practice set.

What I bring

Problem-first approach: we start from the exact questions you face and generalize methods from there.

Dual focus—intuition + rigor: economic intuition/graphs paired with formal derivations and proofs where needed.

Quant & code support: econometrics workflows (Stata/R/Python), reproducible do-files/notebooks, readable tables/figures.

Study systems: spaced practice sets, exam checklists, and “last-48-hours” review plans.

See more

Rates

Rate

  • ₹3,491

Pack prices

  • 5h: ₹15,361
  • 10h: ₹27,930

online

  • ₹2,793/hr

free classes

This first free class with Alireza will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.

  • 30mins

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