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Ashutosh Bansal

locationImg Sector 42, Faridabad
4 yrs of Exp
students 1 student
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Making Computer Science simple, logical, and exam-ready for every student.

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I am a software engineer with hands-on experience building real-world web applications using modern stacks like Next.js, Node.js, and PostgreSQL. I tutor school students in Computer Science, covering Python programming, fundamentals of coding logic, data structures, basic algorithms, and CBSE/ICSE board syllabi. My teaching style is project-based and concept-first — I help students understand the "why" behind the code, not just memorize syntax. I focus on building strong problem-solving skills and exam confidence.

Languages Spoken

Hindi Mother Tongue (Native)

English Proficient

Education

Trinity college dublin 2022

Master of Engineering - Master of Technology (M.E./M.Tech.)

Address

Sector 42, Faridabad, India - 121003

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Taught Students from these Schools

M

Modern Vidya Niketan

Faridabad, Faridabad

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Ryan International School

Sodala Shanti Nagar, Jaipur

D

DPS DWARKA

Sector 4, Dwarka, Delhi

Teaches

BSc Tuition

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in BSc Tuition

4

BSc Computer Science Subjects

Software Engineering, Computer Systems Architecture, Programming Fundamentals

Experience in School or College

Taught programming to school and college students.

Type of class

Crash Course, Regular Classes

Class strength catered to

One on one/ Private Tutions, Group Classes

Taught in School or College

Yes

BSc Branch

BSc Computer Science

Python Training classes

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Python Training classes

4

Course Duration provided

6-12 months, 1-3 months, 3-6 months

Seeker background catered to

Individual, Corporate company, Educational Institution

Certification provided

Yes

Python applications taught

Core Python, PySpark, Help in assignment, Data Science with Python, Text Processing with Python, Automation with Python , Data Visualization with Python, Data Analysis with Python , Testing with Python, GUI (Graphical User Interfaces) with Python , Networking with Python , Web Development with Python , Data Extraction with Python , Scipy Stack with Python , Machine Learning with Python, Regular Expressions with Python , Web Scraping with Python

Teaching Experience in detail in Python Training classes

I offer comprehensive Python training covering a wide range of real-world applications, tailored for both school and college students. My teaching spans from Core Python fundamentals all the way to advanced, industry-relevant topics. I teach Core Python from scratch — covering syntax, data types, control flow, functions, OOP, and exception handling — ensuring every student builds a rock-solid foundation before moving to applied topics. In the domain of Data & Analytics, I cover Data Analysis, Data Extraction, Data Visualization, and Data Science using libraries like NumPy, Pandas, Matplotlib, and Seaborn. Students learn how to work with real datasets, draw insights, and present findings visually — skills that are highly valued in academics and industry alike. For students interested in automation and web, I teach Web Scraping using BeautifulSoup and Requests, Regular Expressions for pattern matching and text parsing, and Text Processing techniques used in real-world NLP pipelines. I also cover Machine Learning with Python using Scikit-learn — introducing students to supervised and unsupervised learning, model building, and evaluation — making complex ML concepts approachable even for beginners. Beyond data, I teach GUI Development using Tkinter, helping students build their own desktop applications, and Testing with Python using frameworks like unittest and pytest to write reliable, professional-grade code. I actively assist students with assignments and projects, helping them understand requirements, structure their code properly, and submit work they genuinely understand — not just copy. Throughout all sessions, I focus on hands-on practice, live coding, and real-world examples so that every student walks away not just knowing Python — but being able to use it confidently.

Node.JS Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Node.JS Training

4

Teaching Experience in detail in Node.JS Training

I offer structured and practical Node.js training for college students and working professionals looking to build real-world backend applications. My teaching approach is hands-on and project-driven, ensuring that every student not only understands the concepts but can actually apply them in production-level scenarios. I start with the Core fundamentals of Node.js — covering how Node works under the hood, the event-driven architecture, the non-blocking I/O model, the Node runtime, and how it differs from traditional server-side programming. Understanding these concepts deeply is what separates a good Node.js developer from someone who just copies tutorials. From there, I move into building REST APIs with Express.js — the most widely used Node.js framework. Students learn how to create routes, handle middleware, manage request/response cycles, implement authentication using JWT, and structure a professional backend codebase following industry best practices. I cover database integration thoroughly — connecting Node.js applications with both SQL databases like PostgreSQL and MySQL, and NoSQL databases like MongoDB using Mongoose. Students learn how to design schemas, write queries, handle relationships, and manage migrations. For more advanced learners, I teach real-time application development using Socket.io, environment management using dotenv and config modules, error handling and logging using tools like Winston, and API security best practices including rate limiting, helmet, and CORS configuration. I also cover testing in Node.js using Jest and Supertest, helping students write unit and integration tests for their APIs — a skill that is critical in professional development environments. Finally, I guide students through deployment — hosting Node.js applications on platforms like Render, Railway, or VPS servers, setting up environment variables, and managing production builds. Whether a student is building their first backend project, preparing for a tech internship, or trying to crack a full-stack developer role, I customize the curriculum to match their specific goal and pace.

SQL Programming Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in SQL Programming Training

4

Teaching Experience in detail in SQL Programming Training

I offer thorough and practical SQL training designed for students and learners at all levels — from complete beginners who have never written a database query, to college students preparing for exams, placements, and real-world projects. I begin with Core SQL Fundamentals — teaching students how relational databases work, what tables, rows, columns, keys, and relationships mean, and how to write their first queries using SELECT, INSERT, UPDATE, and DELETE. I make sure every student understands the logic behind structured data before touching complex queries. From there, I move into Intermediate SQL — covering essential concepts like JOINs (INNER, LEFT, RIGHT, FULL OUTER), GROUP BY, HAVING, ORDER BY, aggregate functions like COUNT, SUM, AVG, MIN, and MAX, and subqueries. These are the most commonly tested topics in college exams, placement drives, and technical interviews, and I ensure students can solve problems confidently using these concepts. I teach Database Design and Normalization — helping students understand how to design clean, efficient database schemas, apply normalization rules (1NF, 2NF, 3NF), eliminate data redundancy, and define proper primary keys, foreign keys, and constraints. This is a skill that directly impacts real-world project quality. For more advanced learners, I cover Stored Procedures, Functions, Triggers, and Views — giving students a deeper understanding of how databases execute logic internally. I also teach Indexes and Query Optimization — helping students understand how to write faster, more efficient queries for large datasets. I cover both widely used database systems — MySQL and PostgreSQL — so students are comfortable working across different environments. I also introduce students to basic database connectivity with Python using libraries like psycopg2 and SQLAlchemy, bridging the gap between SQL and application development. Throughout all sessions, I use real datasets and practical assignments — students work on actual problems like building an e-commerce database, a student management system, or a sales analytics dashboard — making learning contextual and engaging rather than theoretical. Whether a student needs to clear university exams, prepare for campus placements, or build a solid backend for their project, I tailor every session to their specific goal and current level.

C++ Language Classes

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in C++ Language Classes

4

Proficiency level taught

Advanced C++, Basic C++

Teaching Experience in detail in C++ Language Classes

I offer comprehensive and structured C++ training for school and college students, covering everything from absolute basics to advanced programming concepts. My teaching approach is concept-first and problem-driven — ensuring students not only write correct code but truly understand what is happening at every step. I begin with Core C++ Fundamentals — covering the basic structure of a C++ program, data types, variables, operators, input/output using cin and cout, and control flow statements like if-else, switch, for, while, and do-while loops. I make sure every beginner is completely comfortable with the syntax and logic of C++ before moving forward. From there, I move into Functions and Arrays — teaching students how to write modular, reusable code using functions, understand scope and recursion, work with single and multi-dimensional arrays, and manipulate strings using character arrays and the string class. These are core topics in both CBSE Class 11–12 and undergraduate CS curricula. I place strong emphasis on Object-Oriented Programming (OOP) — the heart of C++. Students learn Classes and Objects, Constructors and Destructors, Encapsulation, Inheritance (single, multiple, multilevel), Polymorphism (function overloading, operator overloading, virtual functions), and Abstraction. I use real-world analogies and mini-projects to make OOP concepts genuinely click rather than feel abstract. I cover Pointers and Memory Management in depth — one of the most feared yet most important topics in C++. Students learn pointer arithmetic, dynamic memory allocation using new and delete, references, and how memory works at a low level. Mastering pointers is what truly separates an average C++ programmer from a strong one. For college-level students, I also teach Data Structures in C++ — implementing Linked Lists, Stacks, Queues, Trees, and Graphs from scratch using classes and pointers. This directly prepares students for Data Structures and Algorithms (DSA) coursework and technical interview preparation. I additionally cover File Handling in C++ — reading from and writing to files using fstream, ifstream, and ofstream — a commonly tested topic in university practical exams. For CBSE and ICSE board students, I specifically align my teaching with the exact syllabus, question paper patterns, and practical file requirements — ensuring students are fully exam-ready and confident going into their boards. Whether a student is a complete beginner, struggling with OOP concepts, preparing for board exams, or gearing up for college DSA courses, I customize every session to match their exact need and learning pace.

Web Development Classes

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Web Development Classes

4

Teaching Experience in detail in Web Development Classes

I offer comprehensive and practical Web Development training for school and college students, covering the complete journey from building a basic webpage to deploying a fully functional full-stack web application. My teaching is project-based and industry-aligned — ensuring every student builds real, portfolio-worthy projects rather than just studying theory. I begin with HTML & CSS Fundamentals — teaching students how to structure clean semantic HTML and build fully responsive layouts using Flexbox, CSS Grid, and modern frameworks like Tailwind CSS and Bootstrap. Every student can design and build a professional-looking website from scratch before moving forward. From there, I move into JavaScript — covering DOM manipulation, event handling, and asynchronous programming using Promises and async/await. I place strong emphasis on writing clean, logical JavaScript because understanding it deeply is what makes a truly capable web developer. On the Frontend side, I introduce students to React.js — covering components, props, state management, and hooks like useState and useEffect. Students build real projects like task managers, weather apps, and product listing pages they can proudly showcase in their portfolios. For the Backend, I cover Node.js and Express.js — teaching students how to build REST APIs, handle authentication using JWT, and connect to databases. I cover both MongoDB and PostgreSQL — giving students experience with both NoSQL and relational database environments. Finally, I guide students through Deployment — pushing projects live using platforms like Vercel, Netlify, and Render so their work is accessible to the world, not just running on localhost. By the end of our sessions, every student walks away with a strong, demonstrable full-stack skill set — ready for internships, campus placements, or freelance opportunities.

Reviews

No Reviews yet!

Teaches

BSc Tuition

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in BSc Tuition

4

BSc Computer Science Subjects

Software Engineering, Computer Systems Architecture, Programming Fundamentals

Experience in School or College

Taught programming to school and college students.

Type of class

Crash Course, Regular Classes

Class strength catered to

One on one/ Private Tutions, Group Classes

Taught in School or College

Yes

BSc Branch

BSc Computer Science

Python Training classes

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Python Training classes

4

Course Duration provided

6-12 months, 1-3 months, 3-6 months

Seeker background catered to

Individual, Corporate company, Educational Institution

Certification provided

Yes

Python applications taught

Core Python, PySpark, Help in assignment, Data Science with Python, Text Processing with Python, Automation with Python , Data Visualization with Python, Data Analysis with Python , Testing with Python, GUI (Graphical User Interfaces) with Python , Networking with Python , Web Development with Python , Data Extraction with Python , Scipy Stack with Python , Machine Learning with Python, Regular Expressions with Python , Web Scraping with Python

Teaching Experience in detail in Python Training classes

I offer comprehensive Python training covering a wide range of real-world applications, tailored for both school and college students. My teaching spans from Core Python fundamentals all the way to advanced, industry-relevant topics. I teach Core Python from scratch — covering syntax, data types, control flow, functions, OOP, and exception handling — ensuring every student builds a rock-solid foundation before moving to applied topics. In the domain of Data & Analytics, I cover Data Analysis, Data Extraction, Data Visualization, and Data Science using libraries like NumPy, Pandas, Matplotlib, and Seaborn. Students learn how to work with real datasets, draw insights, and present findings visually — skills that are highly valued in academics and industry alike. For students interested in automation and web, I teach Web Scraping using BeautifulSoup and Requests, Regular Expressions for pattern matching and text parsing, and Text Processing techniques used in real-world NLP pipelines. I also cover Machine Learning with Python using Scikit-learn — introducing students to supervised and unsupervised learning, model building, and evaluation — making complex ML concepts approachable even for beginners. Beyond data, I teach GUI Development using Tkinter, helping students build their own desktop applications, and Testing with Python using frameworks like unittest and pytest to write reliable, professional-grade code. I actively assist students with assignments and projects, helping them understand requirements, structure their code properly, and submit work they genuinely understand — not just copy. Throughout all sessions, I focus on hands-on practice, live coding, and real-world examples so that every student walks away not just knowing Python — but being able to use it confidently.

Node.JS Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Node.JS Training

4

Teaching Experience in detail in Node.JS Training

I offer structured and practical Node.js training for college students and working professionals looking to build real-world backend applications. My teaching approach is hands-on and project-driven, ensuring that every student not only understands the concepts but can actually apply them in production-level scenarios. I start with the Core fundamentals of Node.js — covering how Node works under the hood, the event-driven architecture, the non-blocking I/O model, the Node runtime, and how it differs from traditional server-side programming. Understanding these concepts deeply is what separates a good Node.js developer from someone who just copies tutorials. From there, I move into building REST APIs with Express.js — the most widely used Node.js framework. Students learn how to create routes, handle middleware, manage request/response cycles, implement authentication using JWT, and structure a professional backend codebase following industry best practices. I cover database integration thoroughly — connecting Node.js applications with both SQL databases like PostgreSQL and MySQL, and NoSQL databases like MongoDB using Mongoose. Students learn how to design schemas, write queries, handle relationships, and manage migrations. For more advanced learners, I teach real-time application development using Socket.io, environment management using dotenv and config modules, error handling and logging using tools like Winston, and API security best practices including rate limiting, helmet, and CORS configuration. I also cover testing in Node.js using Jest and Supertest, helping students write unit and integration tests for their APIs — a skill that is critical in professional development environments. Finally, I guide students through deployment — hosting Node.js applications on platforms like Render, Railway, or VPS servers, setting up environment variables, and managing production builds. Whether a student is building their first backend project, preparing for a tech internship, or trying to crack a full-stack developer role, I customize the curriculum to match their specific goal and pace.

SQL Programming Training

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in SQL Programming Training

4

Teaching Experience in detail in SQL Programming Training

I offer thorough and practical SQL training designed for students and learners at all levels — from complete beginners who have never written a database query, to college students preparing for exams, placements, and real-world projects. I begin with Core SQL Fundamentals — teaching students how relational databases work, what tables, rows, columns, keys, and relationships mean, and how to write their first queries using SELECT, INSERT, UPDATE, and DELETE. I make sure every student understands the logic behind structured data before touching complex queries. From there, I move into Intermediate SQL — covering essential concepts like JOINs (INNER, LEFT, RIGHT, FULL OUTER), GROUP BY, HAVING, ORDER BY, aggregate functions like COUNT, SUM, AVG, MIN, and MAX, and subqueries. These are the most commonly tested topics in college exams, placement drives, and technical interviews, and I ensure students can solve problems confidently using these concepts. I teach Database Design and Normalization — helping students understand how to design clean, efficient database schemas, apply normalization rules (1NF, 2NF, 3NF), eliminate data redundancy, and define proper primary keys, foreign keys, and constraints. This is a skill that directly impacts real-world project quality. For more advanced learners, I cover Stored Procedures, Functions, Triggers, and Views — giving students a deeper understanding of how databases execute logic internally. I also teach Indexes and Query Optimization — helping students understand how to write faster, more efficient queries for large datasets. I cover both widely used database systems — MySQL and PostgreSQL — so students are comfortable working across different environments. I also introduce students to basic database connectivity with Python using libraries like psycopg2 and SQLAlchemy, bridging the gap between SQL and application development. Throughout all sessions, I use real datasets and practical assignments — students work on actual problems like building an e-commerce database, a student management system, or a sales analytics dashboard — making learning contextual and engaging rather than theoretical. Whether a student needs to clear university exams, prepare for campus placements, or build a solid backend for their project, I tailor every session to their specific goal and current level.

C++ Language Classes

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in C++ Language Classes

4

Proficiency level taught

Advanced C++, Basic C++

Teaching Experience in detail in C++ Language Classes

I offer comprehensive and structured C++ training for school and college students, covering everything from absolute basics to advanced programming concepts. My teaching approach is concept-first and problem-driven — ensuring students not only write correct code but truly understand what is happening at every step. I begin with Core C++ Fundamentals — covering the basic structure of a C++ program, data types, variables, operators, input/output using cin and cout, and control flow statements like if-else, switch, for, while, and do-while loops. I make sure every beginner is completely comfortable with the syntax and logic of C++ before moving forward. From there, I move into Functions and Arrays — teaching students how to write modular, reusable code using functions, understand scope and recursion, work with single and multi-dimensional arrays, and manipulate strings using character arrays and the string class. These are core topics in both CBSE Class 11–12 and undergraduate CS curricula. I place strong emphasis on Object-Oriented Programming (OOP) — the heart of C++. Students learn Classes and Objects, Constructors and Destructors, Encapsulation, Inheritance (single, multiple, multilevel), Polymorphism (function overloading, operator overloading, virtual functions), and Abstraction. I use real-world analogies and mini-projects to make OOP concepts genuinely click rather than feel abstract. I cover Pointers and Memory Management in depth — one of the most feared yet most important topics in C++. Students learn pointer arithmetic, dynamic memory allocation using new and delete, references, and how memory works at a low level. Mastering pointers is what truly separates an average C++ programmer from a strong one. For college-level students, I also teach Data Structures in C++ — implementing Linked Lists, Stacks, Queues, Trees, and Graphs from scratch using classes and pointers. This directly prepares students for Data Structures and Algorithms (DSA) coursework and technical interview preparation. I additionally cover File Handling in C++ — reading from and writing to files using fstream, ifstream, and ofstream — a commonly tested topic in university practical exams. For CBSE and ICSE board students, I specifically align my teaching with the exact syllabus, question paper patterns, and practical file requirements — ensuring students are fully exam-ready and confident going into their boards. Whether a student is a complete beginner, struggling with OOP concepts, preparing for board exams, or gearing up for college DSA courses, I customize every session to match their exact need and learning pace.

Web Development Classes

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Web Development Classes

4

Teaching Experience in detail in Web Development Classes

I offer comprehensive and practical Web Development training for school and college students, covering the complete journey from building a basic webpage to deploying a fully functional full-stack web application. My teaching is project-based and industry-aligned — ensuring every student builds real, portfolio-worthy projects rather than just studying theory. I begin with HTML & CSS Fundamentals — teaching students how to structure clean semantic HTML and build fully responsive layouts using Flexbox, CSS Grid, and modern frameworks like Tailwind CSS and Bootstrap. Every student can design and build a professional-looking website from scratch before moving forward. From there, I move into JavaScript — covering DOM manipulation, event handling, and asynchronous programming using Promises and async/await. I place strong emphasis on writing clean, logical JavaScript because understanding it deeply is what makes a truly capable web developer. On the Frontend side, I introduce students to React.js — covering components, props, state management, and hooks like useState and useEffect. Students build real projects like task managers, weather apps, and product listing pages they can proudly showcase in their portfolios. For the Backend, I cover Node.js and Express.js — teaching students how to build REST APIs, handle authentication using JWT, and connect to databases. I cover both MongoDB and PostgreSQL — giving students experience with both NoSQL and relational database environments. Finally, I guide students through Deployment — pushing projects live using platforms like Vercel, Netlify, and Render so their work is accessible to the world, not just running on localhost. By the end of our sessions, every student walks away with a strong, demonstrable full-stack skill set — ready for internships, campus placements, or freelance opportunities.

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