Whitefield, Bangalore, India - 560066.
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English Proficient
Narula Institute of Technology 2025
Bachelor of Technology (B.Tech.)
Whitefield, Bangalore, India - 560066
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Coding for Kids
3
Age groups catered to
6 to 12 years
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in C++ Language Classes
3
Proficiency level taught
Basic C++, Advanced C++
Teaching Experience in detail in C++ Language Classes
I have 3 years of teaching experience in C++ programming, where I have trained students from beginner to intermediate levels. My teaching focuses on building a strong foundation in C++ fundamentals such as data types, operators, control structures, functions, arrays, pointers, and recursion. I explain Object-Oriented Programming (OOP) concepts including classes, objects, inheritance, polymorphism, encapsulation, and constructors with simple, real-life examples. I also teach STL components like vectors, maps, sets, and stacks. My approach is practical and student-centered, involving regular coding practice, assignments, and problem-solving sessions. I emphasize logic building, debugging skills, and clean coding practices to help students gain confidence and prepare for exams, projects, and technical interviews.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
6-12 months, 3-6 months
Seeker background catered to
Educational Institution, Individual, Corporate company
Certification provided
Yes
Python applications taught
Data Analysis with Python , Data Visualization with Python, PySpark, Machine Learning with Python
Teaching Experience in detail in Python Training classes
I have extensive teaching experience in Python training, where I have guided students from absolute beginners to intermediate learners. My training starts with Python basics such as variables, data types, operators, conditional statements, and loops, ensuring students develop a clear understanding of programming logic. I teach functions, modules, lists, tuples, dictionaries, and sets with hands-on coding practice. Special emphasis is given to Object-Oriented Programming (OOP) in Python, including classes, objects, inheritance, and encapsulation, explained in simple and practical ways. I also introduce file handling, exception handling, and basic debugging techniques. For advanced learners, I cover NumPy, Pandas, and basic data analysis concepts. My teaching methodology is practice-oriented, involving real-world examples, assignments, mini-projects, and interview-focused questions to help students build confidence and apply Python effectively in academics, projects, and career preparation.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Python, Machine learning, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I have strong teaching experience in Data Science, where I have trained students from beginner to intermediate levels with a clear focus on building both conceptual understanding and practical skills. My teaching starts with data fundamentals, including data types, data collection, data cleaning, and exploratory data analysis (EDA). I teach Python for Data Science, covering libraries such as NumPy for numerical operations, Pandas for data handling, and Matplotlib/Seaborn for data visualization. Students learn how to analyze datasets, identify patterns, and draw meaningful insights using real-world examples. I also cover core machine learning concepts, including supervised and unsupervised learning, regression, classification, decision trees, and model evaluation techniques. Emphasis is placed on hands-on projects, assignments, and case studies to simulate real industry problems. My teaching approach is practical, example-driven, and student-focused, helping learners build strong analytical thinking, problem-solving abilities, and confidence to apply Data Science skills in projects, academics, and career preparation.
Upcoming Live Classes
1. Which classes do you teach?
I teach BTech Tuition, C++ Language, Coding for Kids, Data Science and Python Training Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 3 years.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Coding for Kids
3
Age groups catered to
6 to 12 years
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in C++ Language Classes
3
Proficiency level taught
Basic C++, Advanced C++
Teaching Experience in detail in C++ Language Classes
I have 3 years of teaching experience in C++ programming, where I have trained students from beginner to intermediate levels. My teaching focuses on building a strong foundation in C++ fundamentals such as data types, operators, control structures, functions, arrays, pointers, and recursion. I explain Object-Oriented Programming (OOP) concepts including classes, objects, inheritance, polymorphism, encapsulation, and constructors with simple, real-life examples. I also teach STL components like vectors, maps, sets, and stacks. My approach is practical and student-centered, involving regular coding practice, assignments, and problem-solving sessions. I emphasize logic building, debugging skills, and clean coding practices to help students gain confidence and prepare for exams, projects, and technical interviews.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
6-12 months, 3-6 months
Seeker background catered to
Educational Institution, Individual, Corporate company
Certification provided
Yes
Python applications taught
Data Analysis with Python , Data Visualization with Python, PySpark, Machine Learning with Python
Teaching Experience in detail in Python Training classes
I have extensive teaching experience in Python training, where I have guided students from absolute beginners to intermediate learners. My training starts with Python basics such as variables, data types, operators, conditional statements, and loops, ensuring students develop a clear understanding of programming logic. I teach functions, modules, lists, tuples, dictionaries, and sets with hands-on coding practice. Special emphasis is given to Object-Oriented Programming (OOP) in Python, including classes, objects, inheritance, and encapsulation, explained in simple and practical ways. I also introduce file handling, exception handling, and basic debugging techniques. For advanced learners, I cover NumPy, Pandas, and basic data analysis concepts. My teaching methodology is practice-oriented, involving real-world examples, assignments, mini-projects, and interview-focused questions to help students build confidence and apply Python effectively in academics, projects, and career preparation.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Python, Machine learning, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I have strong teaching experience in Data Science, where I have trained students from beginner to intermediate levels with a clear focus on building both conceptual understanding and practical skills. My teaching starts with data fundamentals, including data types, data collection, data cleaning, and exploratory data analysis (EDA). I teach Python for Data Science, covering libraries such as NumPy for numerical operations, Pandas for data handling, and Matplotlib/Seaborn for data visualization. Students learn how to analyze datasets, identify patterns, and draw meaningful insights using real-world examples. I also cover core machine learning concepts, including supervised and unsupervised learning, regression, classification, decision trees, and model evaluation techniques. Emphasis is placed on hands-on projects, assignments, and case studies to simulate real industry problems. My teaching approach is practical, example-driven, and student-focused, helping learners build strong analytical thinking, problem-solving abilities, and confidence to apply Data Science skills in projects, academics, and career preparation.
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