12 yrs of Exp 
Kolar Road, Bhopal Details verified of Kaushiki U.✕
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mumbai university 2015
Master of Engineering - Master of Technology (M.E./M.Tech.)
Kolar Road, Bhopal, India - 462042
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AP Shah Institute of Technology
Kasarvadavali, Thane
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
12
Data science techniques
Python, R Programming, Machine learning, Artificial Intelligence, Java
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
No
Python applications taught
Web Scraping with Python , Scipy Stack with Python , Machine Learning with Python, Data Analysis with Python , Data Science with Python, Data Extraction with Python , Core Python, Data Visualization with Python
Teaching Experience in detail in Python Training classes
Python Training Experience I have extensive experience in delivering Python training programs to students, professionals, and government officials, ranging from beginner to advanced levels. Over the years, I have designed and conducted hands-on training sessions covering both core Python programming and its applications in Data Science, Artificial Intelligence, and Web Development. My training experience includes: Python Fundamentals: Variables, data types, operators, conditional statements, loops, functions, modules, exception handling, and file handling. Object-Oriented Programming (OOP): Classes, objects, inheritance, polymorphism, encapsulation, and abstraction with practical examples. Data Structures and Algorithms: Lists, tuples, dictionaries, sets, searching, sorting, and problem-solving techniques. Libraries for Data Science: NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Database Connectivity: Working with SQL databases using Python and performing CRUD operations. Web Scraping and Automation: Using BeautifulSoup, Requests, and Selenium for data extraction and automation tasks. Machine Learning Applications: Implementing machine learning algorithms using Scikit-learn and developing predictive models in Python. Deep Learning and NLP: Introduction to TensorFlow, Keras, and Natural Language Processing applications using Python. Project-Based Learning: Guiding learners through real-world projects such as data analysis dashboards, recommendation systems, sentiment analysis, and automation applications. I have developed course materials, assignments, coding exercises, and case studies to ensure experiential learning. My teaching methodology emphasizes practical implementation through live coding sessions, mini-projects, and problem-solving exercises, enabling learners to gain industry-relevant Python programming skills and apply them effectively in real-world scenarios.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
10
BTech Computer Science subjects
Compiler Design, Theory of computation subject, Big Data Analytics, Data Structures and Algorithms, Artificial Intelligence
BTech Branch
BTech Computer Science Engineering
Experience in School or College
college 7+years
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes
Taught in School or College
Yes
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
12
Data science techniques
Python, R Programming, Machine learning, Artificial Intelligence, Java
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
No
Python applications taught
Web Scraping with Python , Scipy Stack with Python , Machine Learning with Python, Data Analysis with Python , Data Science with Python, Data Extraction with Python , Core Python, Data Visualization with Python
Teaching Experience in detail in Python Training classes
Python Training Experience I have extensive experience in delivering Python training programs to students, professionals, and government officials, ranging from beginner to advanced levels. Over the years, I have designed and conducted hands-on training sessions covering both core Python programming and its applications in Data Science, Artificial Intelligence, and Web Development. My training experience includes: Python Fundamentals: Variables, data types, operators, conditional statements, loops, functions, modules, exception handling, and file handling. Object-Oriented Programming (OOP): Classes, objects, inheritance, polymorphism, encapsulation, and abstraction with practical examples. Data Structures and Algorithms: Lists, tuples, dictionaries, sets, searching, sorting, and problem-solving techniques. Libraries for Data Science: NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Database Connectivity: Working with SQL databases using Python and performing CRUD operations. Web Scraping and Automation: Using BeautifulSoup, Requests, and Selenium for data extraction and automation tasks. Machine Learning Applications: Implementing machine learning algorithms using Scikit-learn and developing predictive models in Python. Deep Learning and NLP: Introduction to TensorFlow, Keras, and Natural Language Processing applications using Python. Project-Based Learning: Guiding learners through real-world projects such as data analysis dashboards, recommendation systems, sentiment analysis, and automation applications. I have developed course materials, assignments, coding exercises, and case studies to ensure experiential learning. My teaching methodology emphasizes practical implementation through live coding sessions, mini-projects, and problem-solving exercises, enabling learners to gain industry-relevant Python programming skills and apply them effectively in real-world scenarios.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
10
BTech Computer Science subjects
Compiler Design, Theory of computation subject, Big Data Analytics, Data Structures and Algorithms, Artificial Intelligence
BTech Branch
BTech Computer Science Engineering
Experience in School or College
college 7+years
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes
Taught in School or College
Yes
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