Jay Kaushik

Master Mathematics with Structured, Exam-Focused & Concept-Driven Learning Pro

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Jay Kaushik

Masters degree

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Each lesson is 55 min

50 lessons


20% off

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30 lessons


15% off

/ lesson

20 lessons


10% off

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10 lessons


5% off

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5 lessons


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1 lessons


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Jay - Know your tutor

With over 7 years of experience in teaching Mathematics, I specialize in concept-based, personalized instruction for students from Classes 9–12 across CBSE, ICSE, IB, and competitive exam tracks. My expertise covers Algebra, Trigonometry, Coordinate Geometry, Calculus, Probability, Statistics, and Mathematical Reasoning, with strong emphasis on problem-solving techniques and exam-oriented strategies. I design structured learning plans tailored to each student’s strengths and learning pace, incorporating step-by-step explanations, regular practice sets, doubt-clearing sessions, and exam simulations. My teaching approach focuses on building strong fundamentals, logical thinking, and confidence, helping students transition from basic understanding to advanced application. I support students with homework, assignments, board exam preparation, and competitive exam readiness, ensuring clarity, accuracy, and consistent improvement in performance.

Jay graduated from NSUT ( Netaji Shubas University of Technology )

Jay  graduated from NSUT ( Netaji Shubas University of Technology )
Jay  graduated from NSUT ( Netaji Shubas University of Technology )

Specialities of your tutor

Exam Simulation icon

Exam Simulation

GCSE (UK) icon

GCSE (UK)

Problem Solving icon

Problem Solving

International Baccalaureate (IB) icon

International Baccalaureate (IB)

Quick Math Games icon

Quick Math Games

Learning Plans icon

Learning Plans

Test prep strategies icon

Test prep strategies

Practice Tests icon

Practice Tests

Provincial-specific curriculum (CA) icon

Provincial-specific curriculum (CA)

Test Strategy icon

Test Strategy

Australian Curriculum (AU) icon

Australian Curriculum (AU)

Practice Drills icon

Practice Drills

Student types for classes

Middle School students icon

Middle School students

Mathematics for Beginners icon

Mathematics for Beginners

Home schooled icon

Home schooled

Learning Disabilities icon

Learning Disabilities

Elementary School students icon

Elementary School students

ASD icon

ASD

Anxiety or Stress Disorders icon

Anxiety or Stress Disorders

High School students icon

High School students

Mathematics for Kids icon

Mathematics for Kids

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ADHD

Class overview

My teaching methodology in Mathematics is structured, concept-driven, and student-centric. I begin by assessing a student’s current understanding and learning style, then design a customized study plan with clear short-term and long-term goals. Each topic is introduced from first principles, ensuring strong conceptual clarity before moving to formulas and applications. I emphasize step-by-step problem-solving, logical reasoning, and multiple solution approaches to develop analytical thinking. Regular practice through graded assignments, worksheets, and exam-oriented questions is combined with periodic tests and detailed feedback. I use real-life examples, visual explanations, and error-analysis techniques to address misconceptions and improve accuracy. Continuous doubt-solving, revision strategies, and progress tracking ensure steady improvement, confidence building, and strong exam performance.

Jay also teaches

Discrete Math

Discrete Math

Elementary School Math

Elementary School Math

Geometry

Geometry

High School Math

High School Math

Linear Algebra

Linear Algebra

Middle School Math

Middle School Math

Flexible Scheduling

Allows 1h early scheduling

Allows 1h early rescheduling

Can wait for 20 mins after joining

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10 day Refund

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Mathematics concepts taught by Jay

Student learned 2 days ago

The Tutor and Student concluded Chapter 8 of a Statistics course, covering directional hypothesis tests, effect size (Cohen's d), and statistical power. They practiced calculating z-scores and interpreting results in the context of hypothesis testing. The Tutor planned to share additional practice questions for the Student to solve before the next session.

One-Tailed vs. Two-Tailed Hypothesis Tests

Effect Size (Cohen's d)

Statistical Power

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Student learned 3 days ago

The tutor and student reviewed statistical concepts related to hypothesis testing, including the steps involved, types of hypotheses, and decision-making processes. They also discussed potential errors in hypothesis testing (Type I and Type II) and factors that influence test outcomes, such as sample size and variability. The tutor planned to cover remaining topics in the chapter and continue with subsequent chapters.

Hypothesis Testing: The Four Steps

Type I and Type II Errors in Hypothesis Testing

Factors Influencing Hypothesis Testing Outcomes

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Student learned 10 days ago

The Tutor and Student began the session by reviewing the student's previous test experience before introducing the core concepts of hypothesis testing. They covered the logic, the four essential steps, and the significance of null and alternative hypotheses, as well as the alpha level and critical regions for decision-making. The next session is planned for Sunday to delve deeper into calculations and rejections.

Null vs. Alternative Hypothesis

Steps of Hypothesis Testing

Alpha Level and Critical Region

Hypothesis Testing: The Core Idea

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Student learned 13 days ago

The Student and Tutor practiced solving a variety of statistics problems related to Z-scores, normal distributions, and probability. The Student worked through problems from chapters 5, 6, and 7, focusing on applying the correct formulas and interpreting the results. The next session is scheduled to continue reviewing chapters 8 and 9, and the Student has a test coming up.

Z-Score Calculation and Interpretation

Comparing Scores Across Different Distributions

Probability and Normal Distribution

Finding Scores from a Given Probability

Area Between Two Z-Scores

Standard Error of the Mean

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Student learned 14 days ago

The Student and Tutor worked through probability problems from chapters 6 and 7, focusing on normal distributions, z-scores, and standard error. The Student practiced identifying the correct formulas and applying them to different problem types. For the next session, the Student was instructed to review formulas and practice problems from the textbook.

Determining Sample Mean for Specific Percentile

Finding Sample Size

Probability with Sample Means

Area Between Two Points in a Normal Distribution

Normal Distribution Probabilities

Standard Error of the Mean

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Student learned 19 days ago

The tutor and student reviewed Chapters 5, 6, and 7, covering z-scores, probability, and sample distributions. They practiced solving problems related to these topics and discussed upcoming practice tests and future session plans for further review.

Probability: The Likelihood of Events

Z-Score: Standardization and Interpretation

Sampling Error vs. Standard Error

Normal Distribution and Z-Table

Sampling Distribution of the Mean

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Teaching tools used by tutor

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Practice worksheets

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Assessment

Math Games image

Math Games

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Graphing Tools

Quizzes image

Quizzes

Visualization & Exploration image

Visualization & Exploration

Presentations image

Presentations

Interactive lessons

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Weekend lessons

Note taking icon

Note taking

Record lessons icon

Record lessons

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Parent feedback

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Mobile joining

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Every tutor is interviewed and selected for subject expertise and teaching skill.