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Lohgaon, Pune, India - 411047.
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Telugu Mother Tongue (Native)
English Proficient
Hindi Proficient
Pes University 2022
Master of Engineering - Master of Technology (M.E./M.Tech.)
Lohgaon, Pune, India - 411047
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
Machine learning, Artificial Intelligence, R Programming, Java, Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
8
Course Duration provided
6-12 months, 1-3 months, 3-6 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
No
Python applications taught
Data Extraction with Python , Data Visualization with Python, Text Processing with Python, PySpark, Data Analysis with Python , Scipy Stack with Python , Data Science with Python, Machine Learning with Python
Teaching Experience in detail in Python Training classes
I am a dedicated Python teacher with over 5 years of experience in guiding students to master Python programming and its diverse applications. Passionate about coding and problem-solving, I focus on creating an engaging and practical learning environment to help students gain a strong foundation in Python and succeed in academic, professional, or personal projects. Teaching Experience Comprehensive Curriculum: Proficient in teaching core Python concepts, including data types, control structures, object-oriented programming, file handling, and exception handling. Advanced Topics: Expertise in advanced Python applications like web development (Flask/Django), data analysis (Pandas, NumPy), machine learning (scikit-learn), and automation (Selenium, BeautifulSoup). Practical Approach: Designed hands-on exercises, projects, and coding challenges to ensure students apply theoretical knowledge to real-world scenarios. Individualized Support: Adapted teaching strategies to cater to students of all levels, from beginners to advanced learners, ensuring steady progress for each individual. Skills and Strengths Strong ability to simplify complex concepts for easy understanding. Experience teaching Python for various use cases, including data science, web development, and automation. Skilled in mentoring students for competitive coding, interviews, and certifications. Proficient in using online teaching tools like Zoom, Google Classroom, and Jupyter Notebook for virtual learning sessions.
1. Which classes do you teach?
I teach 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 5 years.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
Machine learning, Artificial Intelligence, R Programming, Java, Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
8
Course Duration provided
6-12 months, 1-3 months, 3-6 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
No
Python applications taught
Data Extraction with Python , Data Visualization with Python, Text Processing with Python, PySpark, Data Analysis with Python , Scipy Stack with Python , Data Science with Python, Machine Learning with Python
Teaching Experience in detail in Python Training classes
I am a dedicated Python teacher with over 5 years of experience in guiding students to master Python programming and its diverse applications. Passionate about coding and problem-solving, I focus on creating an engaging and practical learning environment to help students gain a strong foundation in Python and succeed in academic, professional, or personal projects. Teaching Experience Comprehensive Curriculum: Proficient in teaching core Python concepts, including data types, control structures, object-oriented programming, file handling, and exception handling. Advanced Topics: Expertise in advanced Python applications like web development (Flask/Django), data analysis (Pandas, NumPy), machine learning (scikit-learn), and automation (Selenium, BeautifulSoup). Practical Approach: Designed hands-on exercises, projects, and coding challenges to ensure students apply theoretical knowledge to real-world scenarios. Individualized Support: Adapted teaching strategies to cater to students of all levels, from beginners to advanced learners, ensuring steady progress for each individual. Skills and Strengths Strong ability to simplify complex concepts for easy understanding. Experience teaching Python for various use cases, including data science, web development, and automation. Skilled in mentoring students for competitive coding, interviews, and certifications. Proficient in using online teaching tools like Zoom, Google Classroom, and Jupyter Notebook for virtual learning sessions.
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