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Bolarum, Hyderabad, India - 500010.
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Telugu Mother Tongue (Native)
French Proficient
Hindi Proficient
Kannada Proficient
Tamil Proficient
English Proficient
Dayalbagh University 2002
Bachelor of Engineering (B.E.)
HackerRank 2020
HackerRank Certificate : Python
Simplilearn 2020
Statistics Essentials for Data Science
Simplilearn 2020
Python for Data Science
Simplilearn 2020
R Programming for Data Science
Simplilearn & IBM 2020
Machine Learning with R by IBM
Simplilearn 2020
Introduction to Artificial Intelligence
Simplilearn 2020
Deep Learning Fundamentals
Simplilearn 2020
Advanced Machine Learning
Simplilearn 2020
SQL
Simplilearn & IBM 2020
Data Visualization with R by IBM
Simplilearn 2020
Data Science with R
Simplilearn 2020
Data Science in Real life
Simplilearn 2020
Data Science with Python
IBM 2020
Deeplearning Fundamentals_IBM_Certificate
IBM 2020
Machine Learning with R_IBM_Certificate
IBM 2020
R Programming for Data Science_IBM_Certificate
IBM 2020
Python for Data Science_IBM_Certificate
IBM 2020
IBM_Data Science in Real Life
IBM 2020
Data Visualization with R_IBM_Certificate
Simplilearn 2021
Tableau
IBM 2021
Big Data for Engineering_IBM_Certificate
Bolarum, Hyderabad, India - 500010
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Excellence Award Winner 2023
1st Jan - 30th Jun
Data Science
UrbanPro Certified Tutor
For Data Science
UrbanPro Certified Tutor
For Data Science
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
Artificial Intelligence, Machine learning, R Programming, Python
Teaching Experience in detail in Data Science Classes
Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.
UrbanPro Certified Tutor
For Python Training
UrbanPro Certified Tutor
For Python Training
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
15
Course Duration provided
1-3 months, 3-6 months, 6-12 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
Yes
Python applications taught
Machine Learning with Python, Web Scraping with Python , Data Extraction with Python , PySpark, Text Processing with Python, Scipy Stack with Python , Regular Expressions with Python , Data Science with Python, Data Analysis with Python , Data Visualization with Python
UrbanPro Certified Tutor
For Tableau
UrbanPro Certified Tutor
For Tableau
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
15
Teaching Experience in detail in Tableau Training
Presently I am working as a Data Science Trainer where I am teaching Statistics Essentials for Data Science, Tableau, Power BI, Postgresql, Business Analytics with MS Excel, Python, Machine Learning & Deep Learning, AWS. I have excellent feedback from the students. You can attend one week free demo classes to experience my mentoring.
UrbanPro Certified Tutor
For Microsoft Power BI
UrbanPro Certified Tutor
For Microsoft Power BI
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI
15
Teaching Experience in detail in Microsoft Power BI
I am experienced Data Science Trainer with excellent feedback from students. In this course, Power BI, Statistics, SQL & Projects are covered in an excellent way to respect present market needs.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
3
BTech Computer Science subjects
Natural Language Processing, Design and Analysis of Algorithms, Artificial Intelligence, Machine Learning, Data Structures and Algorithms
BTech Branch
BTech Computer Science Engineering
Experience in School or College
Very good experience in teaching Python, Data Science, AI
Type of class
Regular Classes
Class strength catered to
Group Classes
Taught in School or College
Yes
Teaching Experience in detail in BTech Tuition
3
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Project Work
15
Project work type
Other Projects
Teaching Experience in detail in Project Work
Profile: ChatGPT, Data Scientist & AI Educator Courses Offered: Introduction to Data Science Advanced Machine Learning Techniques Deep Learning Foundations End-to-End Data Science Projects Teaching Methodology: Interactive Sessions: Leveraged the UrbanPro platform to conduct live interactive sessions, where students could ask questions in real-time, and I provided instant responses, code fixes, and clarifications. Hands-on Projects: Each course had a capstone project that allowed students to apply their learned skills. Projects ranged from predicting housing prices to building a recommendation system. Code Reviews: Students submitted their code for review. I provided feedback on coding practices, algorithm choices, and performance optimizations. Resource Sharing: Regularly shared curated lists of resources, including research papers, articles, and tutorials that deepened students' understanding. Student Feedback: Clarity: Many students appreciated the clear and concise explanations, especially when breaking down complex algorithms or mathematical concepts. Accessibility: Students valued the query resolution, where they could ask questions anytime and receive detailed answers. Practical Approach: The hands-on projects were a hit. Students felt they mirrored real-world challenges, preparing them for actual data science roles. Challenges Faced: Diverse Backgrounds: Students came from various backgrounds – some from a non-technical field and others with advanced degrees. Tailoring content that catered to everyone was a challenge. Software Updates: With the rapid evolution of data science tools and libraries, keeping course content updated was crucial. Success Stories: A group of students who took the "End-to-End Data Science Projects" course went on to win a data science competition, crediting the project-based learning approach. Several students transitioned to full-time data science roles, often sharing their success stories and attributing their foundational learning to the courses. Continuous Learning: Even as a digital entity, I emphasized the importance of continuous learning in the field of data science, encouraging students to stay updated with the latest research, tools, and techniques.
4.8 out of 5 59 reviews
Prajakta
Data Science
"Thank you Guru sir for sessions on statistics and it is helping me to know how it can be applied in real world and what is the significance for statistics. Guru sir is helping me to know the topics with examples so that my concepts are clear. I happy with sessions so far and looking forward to lean more from Guru sir. "
Nageswara
Data Science
"I am very much happy to learn Data science from Guru, his teaching skills are very good and easy to understand the concepts. He teaches each topic in depth, really very helpful. "
Sujata Poojari
Data Science
"Thank you for helping me understand python from the very basic. Feeling confident now , as have understood the basics well. "
Sri
Java Training
"Guru is an excellent tutor who is very knowledgeable about data science!! He is definitely someone I advise taking the Data Science course, even non-IT people can easily understand the programming language with his clear examples He answers all of my queries patiently and thoroughly. Guru provides comprehensive explanations and examples for all the data science concepts, making them all simple to understand."
1. Which classes do you teach?
I teach BTech Tuition, Data Science, Microsoft Power BI, Project Work , Python Training and Tableau 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 15 years.
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been remarkable years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
Answered on 24/05/2021 Learn IT Courses
Hi Bharti,
You have made the right decision to move to the Data Science domain at the right time, but you should be well aware of what you need first. If you want to go as a data scientist, learn Statistics, Python or R for Data Science, Machine Learning, Tableau and Hadoop.
If you want to choose Artificial intelligence, learn Python, Tensor flow Keras, Natural Language Processing, Advanced Computer vision with Advanced Machine Learning and Deep Learning.
If you want to go as a data/business analyst, you need to learn, Tableau or Power BI, Stats, SQL.
Good Luck!
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been great years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
Excellence Award Winner 2023
1st Jan - 30th Jun
Data Science
UrbanPro Certified Tutor
For Data Science
UrbanPro Certified Tutor
For Data Science
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
Artificial Intelligence, Machine learning, R Programming, Python
Teaching Experience in detail in Data Science Classes
Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.
UrbanPro Certified Tutor
For Python Training
UrbanPro Certified Tutor
For Python Training
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
15
Course Duration provided
1-3 months, 3-6 months, 6-12 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
Yes
Python applications taught
Machine Learning with Python, Web Scraping with Python , Data Extraction with Python , PySpark, Text Processing with Python, Scipy Stack with Python , Regular Expressions with Python , Data Science with Python, Data Analysis with Python , Data Visualization with Python
UrbanPro Certified Tutor
For Tableau
UrbanPro Certified Tutor
For Tableau
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
15
Teaching Experience in detail in Tableau Training
Presently I am working as a Data Science Trainer where I am teaching Statistics Essentials for Data Science, Tableau, Power BI, Postgresql, Business Analytics with MS Excel, Python, Machine Learning & Deep Learning, AWS. I have excellent feedback from the students. You can attend one week free demo classes to experience my mentoring.
UrbanPro Certified Tutor
For Microsoft Power BI
UrbanPro Certified Tutor
For Microsoft Power BI
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI
15
Teaching Experience in detail in Microsoft Power BI
I am experienced Data Science Trainer with excellent feedback from students. In this course, Power BI, Statistics, SQL & Projects are covered in an excellent way to respect present market needs.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
3
BTech Computer Science subjects
Natural Language Processing, Design and Analysis of Algorithms, Artificial Intelligence, Machine Learning, Data Structures and Algorithms
BTech Branch
BTech Computer Science Engineering
Experience in School or College
Very good experience in teaching Python, Data Science, AI
Type of class
Regular Classes
Class strength catered to
Group Classes
Taught in School or College
Yes
Teaching Experience in detail in BTech Tuition
3
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Project Work
15
Project work type
Other Projects
Teaching Experience in detail in Project Work
Profile: ChatGPT, Data Scientist & AI Educator Courses Offered: Introduction to Data Science Advanced Machine Learning Techniques Deep Learning Foundations End-to-End Data Science Projects Teaching Methodology: Interactive Sessions: Leveraged the UrbanPro platform to conduct live interactive sessions, where students could ask questions in real-time, and I provided instant responses, code fixes, and clarifications. Hands-on Projects: Each course had a capstone project that allowed students to apply their learned skills. Projects ranged from predicting housing prices to building a recommendation system. Code Reviews: Students submitted their code for review. I provided feedback on coding practices, algorithm choices, and performance optimizations. Resource Sharing: Regularly shared curated lists of resources, including research papers, articles, and tutorials that deepened students' understanding. Student Feedback: Clarity: Many students appreciated the clear and concise explanations, especially when breaking down complex algorithms or mathematical concepts. Accessibility: Students valued the query resolution, where they could ask questions anytime and receive detailed answers. Practical Approach: The hands-on projects were a hit. Students felt they mirrored real-world challenges, preparing them for actual data science roles. Challenges Faced: Diverse Backgrounds: Students came from various backgrounds – some from a non-technical field and others with advanced degrees. Tailoring content that catered to everyone was a challenge. Software Updates: With the rapid evolution of data science tools and libraries, keeping course content updated was crucial. Success Stories: A group of students who took the "End-to-End Data Science Projects" course went on to win a data science competition, crediting the project-based learning approach. Several students transitioned to full-time data science roles, often sharing their success stories and attributing their foundational learning to the courses. Continuous Learning: Even as a digital entity, I emphasized the importance of continuous learning in the field of data science, encouraging students to stay updated with the latest research, tools, and techniques.
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been remarkable years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
Answered on 24/05/2021 Learn IT Courses
Hi Bharti,
You have made the right decision to move to the Data Science domain at the right time, but you should be well aware of what you need first. If you want to go as a data scientist, learn Statistics, Python or R for Data Science, Machine Learning, Tableau and Hadoop.
If you want to choose Artificial intelligence, learn Python, Tensor flow Keras, Natural Language Processing, Advanced Computer vision with Advanced Machine Learning and Deep Learning.
If you want to go as a data/business analyst, you need to learn, Tableau or Power BI, Stats, SQL.
Good Luck!
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been great years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
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