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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Private tutor - Dr. Gurinderjeet Kaur
Doctorate degree
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 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.
Coding tutor specialities
Job readiness
Project help
Upskilling
Exam prep
Assignment help
Coding concept taught by Dr. Gurinderjeet
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.
List of Any Definition
Determining Depth of a List of Any
Atoms in Racket
Evaluating Expression Trees (Mutual Recursion)
Expression Trees
Removing Elements from a List of Any
The Tutor and Student reviewed advanced JavaScript concepts, including higher-order functions, callbacks, map, filter, and reduce methods. The Student was assigned practice questions related to these topics as homework. They scheduled their next session to continue practicing and increase the difficulty level.
Higher-Order Functions
Callbacks
Map Method
Filter Method
Reduce Method
The session involved an extra credit assignment focused on creating an ETL and ML pipeline for real-time fraud detection. The student and tutor reviewed the project requirements, data structure, and expected components. The student began setting up the project repository and folder structure, with plans to start filling in the code and addressing the 'todos' outlined in the assignment.
ETL Pipeline
ML Pipeline
Data Quality Issues
Git Branching Strategy
AI Prompt Engineering
Pydantic Schemas
Synthetic Data Generation
The session covered Bayesian statistics, including Poisson and Gamma distributions, and uniform distributions. The Student worked on problems involving finding posterior distributions with Gamma priors and uniform likelihoods. The Tutor assigned the Student the task of watching videos and creating cheat sheets for various distributions for future sessions.
Poisson Distribution
Gamma Distribution
Poisson-Gamma Conjugate Prior
Uniform Distribution
Posterior Distribution Calculation
Likelihood Function for Uniform Distribution
Dr. Gurinderjeet - Coding tutor also teaches
DOS
R Programming
.NET
Approach & tools used by coding tutor
Google Colab
Jupyter Notebook
Postman
Android Studio
PyCharm
Git & GitHub
Xcode
Learner types for coding classes
Coding for School students
Coding for Beginners
Coding for Adults
Coding for College students
Home schooled
Coding for Kids
Hands-on coding classes
Note taking
Chat for quick help
Open Q&A
Pets are welcomed
Mobile joining
Programming tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
