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Sharma Saravanan Data Science trainer in Chennai

Sharma Saravanan

Machine Learning Maestro: Crafting Insights with 8+ Years of Expertise

Kolapakkam, Chennai, India - 600122.

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Overview

I am an AI/ML Technologist with a proven track record in deploying over 500 microservices for image and text processing. My expertise spans various domains, including facial recognition, Diabetic Retinopathy detection, and NLU-based chatbots. I have a robust skill set encompassing AI/ML, AWS, Data Analysis, Python, Jenkins, NLP, Image Processing, and Chatbot development.

Throughout my career, I have had the privilege of training over 10,000 individuals in the fields of Machine Learning, AWS, and Data Science. My passion lies in sharing knowledge and fostering learning environments that empower individuals to excel in the rapidly evolving landscape of technology.

I am particularly excited about the prospect of bringing my skills and experience to your organization, contributing to the growth of both learners and the company. I believe that my practical insights and hands-on experience in cutting-edge technologies could be of significant value to anyone seek knowledge in niche technologies.

Languages Spoken

Tamil Mother Tongue (Native)

French Proficient

Japanese Proficient

Telugu Proficient

English Proficient

Hindi Basic

Malayalam Basic

Education

PSG college of Technology 2016

Master of Engineering - Master of Technology (M.E./M.Tech.)

Address

Kolapakkam, Chennai, India - 600122

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Teaches

Data Science Classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

8

Data science techniques

R Programming, Machine learning, Python, Artificial Intelligence

Python Training classes

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

1-3 months

Seeker background catered to

Individual, Educational Institution, Corporate company

Certification provided

Yes

Python applications taught

Web Scraping with Python , Text Processing with Python, Data Analysis with Python , Data Visualization with Python, PySpark, Machine Learning with Python, Data Science with Python

Teaching Experience in detail in Python Training classes

With over a 8 years of dedicated experience in Python training, I have honed my skills as a passionate and effective instructor. My journey began as a Python developer, where I immersed myself in the intricacies of the language. Transitioning seamlessly into training, I have conducted numerous workshops and courses, both online and offline, fostering a dynamic learning environment.

Deep Learning Training

Class Location

Online Classes (Video Call via UrbanPro LIVE)

I am Willing to Travel

Tutor's Home

Years of Experience in Deep Learning Training

8

Deep_Learning_Techniques

Tensorflow, Python

Teaching Experience in detail in Deep Learning Training

I bring a wealth of experience to the realm of Deep Learning education, marked by a focused and dynamic approach. With a background deeply rooted in artificial intelligence and machine learning, my journey as a Deep Learning instructor has spanned several years.

Courses

Reviews

No Reviews yet!

FAQs

1. Which classes do you teach?

I teach Data Science, Deep Learning 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 8 years.

Answers by Sharma Saravanan (2)

Answered on 24 Jun Learn IT Courses/Data Science

To do data science, follow these steps: Learn the Basics: Gain a solid foundation in statistics, mathematics, and programming languages such as Python or R. Data Collection: Gather data from various sources, including databases, web scraping, or APIs. Data Cleaning: Process and clean the... ...more

To do data science, follow these steps:

  1. Learn the Basics: Gain a solid foundation in statistics, mathematics, and programming languages such as Python or R.

  2. Data Collection: Gather data from various sources, including databases, web scraping, or APIs.

  3. Data Cleaning: Process and clean the data to handle missing values, outliers, and ensure data quality.

  4. Exploratory Data Analysis (EDA): Use visualization and summary statistics to understand the data and uncover patterns.

  5. Feature Engineering: Create and select relevant features that improve model performance.

  6. Model Building: Choose appropriate algorithms (e.g., regression, classification, clustering) and build predictive models.

  7. Model Evaluation: Validate and assess model performance using metrics like accuracy, precision, recall, or AUC-ROC.

  8. Deployment: Implement the model in a production environment for real-world use.

  9. Continuous Learning: Stay updated with the latest tools, techniques, and industry trends through courses, reading, and practice.

  10. Collaboration: Work with cross-functional teams, including business stakeholders, to ensure the model aligns with business goals.

Answers 5 Comments
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Answered on 24 Jun Learn IT Courses/Data Science

Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline... ...more

Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline supply chains, and improve customer service. It also aids in risk management by predicting potential issues and providing actionable insights. Ultimately, data science fosters innovation, boosts profitability, and provides a competitive edge in the market.

Answers 5 Comments
Dislike Bookmark

Teaches

Data Science Classes

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

8

Data science techniques

R Programming, Machine learning, Python, Artificial Intelligence

Python Training classes

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

1-3 months

Seeker background catered to

Individual, Educational Institution, Corporate company

Certification provided

Yes

Python applications taught

Web Scraping with Python , Text Processing with Python, Data Analysis with Python , Data Visualization with Python, PySpark, Machine Learning with Python, Data Science with Python

Teaching Experience in detail in Python Training classes

With over a 8 years of dedicated experience in Python training, I have honed my skills as a passionate and effective instructor. My journey began as a Python developer, where I immersed myself in the intricacies of the language. Transitioning seamlessly into training, I have conducted numerous workshops and courses, both online and offline, fostering a dynamic learning environment.

Deep Learning Training

Class Location

Online Classes (Video Call via UrbanPro LIVE)

I am Willing to Travel

Tutor's Home

Years of Experience in Deep Learning Training

8

Deep_Learning_Techniques

Tensorflow, Python

Teaching Experience in detail in Deep Learning Training

I bring a wealth of experience to the realm of Deep Learning education, marked by a focused and dynamic approach. With a background deeply rooted in artificial intelligence and machine learning, my journey as a Deep Learning instructor has spanned several years.

Courses

No Reviews yet!

Answers by Sharma Saravanan (2)

Answered on 24 Jun Learn IT Courses/Data Science

To do data science, follow these steps: Learn the Basics: Gain a solid foundation in statistics, mathematics, and programming languages such as Python or R. Data Collection: Gather data from various sources, including databases, web scraping, or APIs. Data Cleaning: Process and clean the... ...more

To do data science, follow these steps:

  1. Learn the Basics: Gain a solid foundation in statistics, mathematics, and programming languages such as Python or R.

  2. Data Collection: Gather data from various sources, including databases, web scraping, or APIs.

  3. Data Cleaning: Process and clean the data to handle missing values, outliers, and ensure data quality.

  4. Exploratory Data Analysis (EDA): Use visualization and summary statistics to understand the data and uncover patterns.

  5. Feature Engineering: Create and select relevant features that improve model performance.

  6. Model Building: Choose appropriate algorithms (e.g., regression, classification, clustering) and build predictive models.

  7. Model Evaluation: Validate and assess model performance using metrics like accuracy, precision, recall, or AUC-ROC.

  8. Deployment: Implement the model in a production environment for real-world use.

  9. Continuous Learning: Stay updated with the latest tools, techniques, and industry trends through courses, reading, and practice.

  10. Collaboration: Work with cross-functional teams, including business stakeholders, to ensure the model aligns with business goals.

Answers 5 Comments
Dislike Bookmark

Answered on 24 Jun Learn IT Courses/Data Science

Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline... ...more

Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline supply chains, and improve customer service. It also aids in risk management by predicting potential issues and providing actionable insights. Ultimately, data science fosters innovation, boosts profitability, and provides a competitive edge in the market.

Answers 5 Comments
Dislike Bookmark

Sharma Saravanan describes himself as Machine Learning Maestro: Crafting Insights with 8+ Years of Expertise. He conducts classes in Data Science, Deep Learning and Python Training. Sharma is located in Kolapakkam, Chennai. Sharma takes Online Classes- via online medium. He has 8 years of teaching experience . Sharma has completed Master of Engineering - Master of Technology (M.E./M.Tech.) from PSG college of Technology in 2016. HeĀ is well versed in French, Hindi, Malayalam, Japanese, Tamil, Telugu and English.

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