Dr. Gurinderjeet Kaur
PhD Computer Science Tutor Specializing in Python, R, Java, C++, SQL, JavaScript, HTML, CSS, AI, and Data Science with Proven Experience
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Dr. Gurinderjeet Kaur
Doctorate degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
About your coding tutor - Dr. Gurinderjeet
I am a dedicated Computer Science educator and coding mentor with over 15 years of academic and industry experience. My teaching philosophy focuses on simplifying complex programming concepts and making them accessible to learners of all levels—whether kids taking their first steps in coding, school and college students preparing for exams, or professionals seeking to upskill. I specialize in Python, Java, C++, C, R, SQL, .NET, and more, and I also provide strong guidance in data science, AI, and software development. Beyond teaching theory, I emphasize hands-on coding, real-world projects, and problem-solving strategies. My expertise includes assignment and project guidance, debugging, code review, optimization, competitive programming, and job interview preparation. I tailor each session to individual needs—whether it’s homework help, exam prep, project completion, or career readiness. By creating a supportive and engaging learning environment, I help students build confidence, improve logical thinking, and develop coding skills that prepare them for future academic success and career opportunities. Let’s embark on this coding journey together to unlock your full potential and shape a brighter, tech-savvy future!
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India
Coding tutor specialities
Assignment help
Project help
Exam prep
Upskilling
Job readiness
Learner types for coding classes
Coding for College students
Coding for Adults
Home schooled
Coding for Beginners
Coding for School students
Coding for Kids
Coding class highlights
My teaching methodology is centered on making complex concepts simple, engaging, and practical. I use a blended approach that combines hands-on coding, problem-solving exercises, conceptual discussions, and project-based learning. I believe students learn best when theory is reinforced through real-world applications, so I design step-by-step tutorials and coding challenges that gradually build confidence and skills. I adapt my teaching style to each learner’s pace, using visual aids, analogies, and examples to strengthen understanding. I also incorporate interactive platforms, coding tools, and collaborative discussions to encourage participation. My goal is to create an inclusive, supportive, and motivating learning environment where students not only master technical skills but also develop critical thinking and problem-solving abilities that prepare them for academic and professional success.
Dr. Gurinderjeet - Coding tutor also teaches
DOS
R Programming
.NET
Coding concepts taught by Dr. Gurinderjeet
The Student and Tutor discussed Python variables, data types, variable naming rules, and the use of imports. The Student received guidance on converting shell scripts to Python using AI and explored Python functions, including their definition and usage with parameters and return statements. They also scheduled the next session.
Variable Naming Rules
Variables and Constants
Data Structures: Lists and Tuples
Modules and Imports
Function Definitions
The Student worked on a merging sorted arrays problem, focusing on in-place modification and pointer manipulation. The Tutor explained the logic behind starting from the end of the arrays and using three pointers for comparison and placement. The Student will continue practicing similar algorithmic problems.
Merging Sorted Arrays
Handling Remaining Elements
Comparison and Assignment
Pointer Placement
The Student and Tutor reviewed probability concepts, including independent events, Venn diagrams, conditional probability, tree diagrams, and combinations. The Student practiced solving problems related to these concepts. They were assigned to review the material and prepare for the next session.
Tree Diagrams and Joint Probabilities
Conditional Probability
Venn Diagrams and Probability
Independent Events and Combined Probability
Probability Basics and the Lottery
Combinations: Selecting Groups When Order Doesn't Matter
The student reviewed homework and then learned about the JavaScript `sort`, `every`, and `some` array methods. The Tutor explained the functionality of each method, including examples for sorting numbers, strings, and objects, as well as checking conditions with `every` and `some`. The student will learn DOM manipulation next session.
Every Method
Sort Method
Some Method
The Student practiced deploying a containerized ML model to Kubernetes, including creating a model, building a Flask API, and writing a Dockerfile. The session covered error handling, input validation, and Docker image configuration. The Student will complete the YAML file and test the deployment.
Kubernetes Deployment for ML Models
Flask API for Model Serving
Model Training and Persistence
Input Data Validation in APIs
Containerizing ML Models with Docker
The student and tutor reviewed functions to process lists of any, including calculating depth and removing elements. The student then worked on understanding expression trees and their evaluation using mutual recursion. The student will send notes for the next session, which will cover lambda and abstract functions.
Atoms in Racket
Evaluating Expression Trees (Mutual Recursion)
Expression Trees
Determining Depth of a List of Any
List of Any Definition
Removing Elements from a List of Any
Approach & tools used by coding tutor
Visual Studio Code
Postman
Google Colab
Bitbucket
NetBeans
Jupyter Notebook
PyCharm
Hands-on coding classes
Chat for quick help
Note taking
Open Q&A
Parent feedback
Mobile joining
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