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Online Classes Telugu Mother Tongue (Native)
English Proficient
Hindi Basic
JNTUH 2014
Master of Engineering - Master of Technology (M.E./M.Tech.)
Jubilee Hills, Hyderabad, India - 500033
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
3-6 months, 1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
No
Python applications taught
Regular Expressions with Python , Machine Learning with Python, Text Processing with Python, Data Science with Python, GUI (Graphical User Interfaces) with Python , Automation with Python , Core Python, Scipy Stack with Python , Web Development with Python , Data Visualization with Python, PySpark, Data Extraction with Python , Web Scraping with Python , Data Analysis with Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Machine learning, Artificial Intelligence, Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
10
BTech Electrical & Electronics subjects
Algorithms And Data Structures, Data Structures & Algorithms, Neural Networks And Applications
BTech Computer Science subjects
Big Data Analytics, Artificial Intelligence, Natural Language Processing, Machine Learning
BTech Branch
BTech Information Science Engineering, BTech Electrical & Electronics, BTech Computer Science Engineering
BTech Information Science subjects
Machine Learning, Pattern Recognition, Artificial Intelligence, Data Structures and Algorithms, Computer Vision, Internet of Things, Neural Network and Fuzzy Logic, Big Data Analytics
Experience in School or College
I completed my Bachelor’s degree in Engineering with a focus on Electronics and Computer Science. During college, I developed a strong interest in programming, algorithms, and data-driven problem solving. I was actively involved in coding projects, technical workshops, and practical assignments that laid the foundation for my career in Machine Learning and AI. My college experience helped me build strong fundamentals in Python, mathematics, and analytical thinking, which I now bring into my teaching.
Type of class
Regular Classes, Crash Course
Class strength catered to
One on one/ Private Tutions
Taught in School or College
Yes
Teaching Experience in detail in BTech Tuition
I have extensive experience teaching and mentoring BTech engineering students in Python, Machine Learning, Artificial Intelligence, Data Science, and core Computer Science fundamentals. Over the years, I’ve helped students from CSE, IT, ECE, and related branches strengthen their concepts, improve grades, and build strong technical foundations that are essential for both academics and real-world careers. My teaching focuses on making complex topics simple and practical. I teach Python from the basics to advanced concepts, including data structures, object-oriented programming, database handling, and real-world coding practices. For Machine Learning and AI, I cover the full pipeline—data preprocessing, model building, evaluation, and understanding algorithms using intuitive explanations suitable for BTech learners. I also assist students with lab preparation, assignments, mini-projects, and major final-year projects, guiding them through project selection, design, implementation, and documentation. Many of the students I’ve mentored have successfully completed strong academic projects in ML, AI, computer vision, and data analytics. My teaching style is friendly, structured, and focused on step-by-step clarity. I use real engineering examples, hands-on coding, and regular practice tasks to ensure students build confidence in both theory and implementation. I also help students prepare for viva-voce questions, internal assessments, and technical interviews for internships and placements. Overall, my goal is to help BTech students not only perform well academically but also develop the practical, job-ready skills they need for careers in software engineering, data science, AI, and related fields.
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
3-6 months, 1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
No
Python applications taught
Regular Expressions with Python , Machine Learning with Python, Text Processing with Python, Data Science with Python, GUI (Graphical User Interfaces) with Python , Automation with Python , Core Python, Scipy Stack with Python , Web Development with Python , Data Visualization with Python, PySpark, Data Extraction with Python , Web Scraping with Python , Data Analysis with Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Machine learning, Artificial Intelligence, Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
10
BTech Electrical & Electronics subjects
Algorithms And Data Structures, Data Structures & Algorithms, Neural Networks And Applications
BTech Computer Science subjects
Big Data Analytics, Artificial Intelligence, Natural Language Processing, Machine Learning
BTech Branch
BTech Information Science Engineering, BTech Electrical & Electronics, BTech Computer Science Engineering
BTech Information Science subjects
Machine Learning, Pattern Recognition, Artificial Intelligence, Data Structures and Algorithms, Computer Vision, Internet of Things, Neural Network and Fuzzy Logic, Big Data Analytics
Experience in School or College
I completed my Bachelor’s degree in Engineering with a focus on Electronics and Computer Science. During college, I developed a strong interest in programming, algorithms, and data-driven problem solving. I was actively involved in coding projects, technical workshops, and practical assignments that laid the foundation for my career in Machine Learning and AI. My college experience helped me build strong fundamentals in Python, mathematics, and analytical thinking, which I now bring into my teaching.
Type of class
Regular Classes, Crash Course
Class strength catered to
One on one/ Private Tutions
Taught in School or College
Yes
Teaching Experience in detail in BTech Tuition
I have extensive experience teaching and mentoring BTech engineering students in Python, Machine Learning, Artificial Intelligence, Data Science, and core Computer Science fundamentals. Over the years, I’ve helped students from CSE, IT, ECE, and related branches strengthen their concepts, improve grades, and build strong technical foundations that are essential for both academics and real-world careers. My teaching focuses on making complex topics simple and practical. I teach Python from the basics to advanced concepts, including data structures, object-oriented programming, database handling, and real-world coding practices. For Machine Learning and AI, I cover the full pipeline—data preprocessing, model building, evaluation, and understanding algorithms using intuitive explanations suitable for BTech learners. I also assist students with lab preparation, assignments, mini-projects, and major final-year projects, guiding them through project selection, design, implementation, and documentation. Many of the students I’ve mentored have successfully completed strong academic projects in ML, AI, computer vision, and data analytics. My teaching style is friendly, structured, and focused on step-by-step clarity. I use real engineering examples, hands-on coding, and regular practice tasks to ensure students build confidence in both theory and implementation. I also help students prepare for viva-voce questions, internal assessments, and technical interviews for internships and placements. Overall, my goal is to help BTech students not only perform well academically but also develop the practical, job-ready skills they need for careers in software engineering, data science, AI, and related fields.
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