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Sushree S. SAS trainer in Bangalore/>

Sushree S.

Data Science and Machine Learning Trainer in R, Python and SAS with 14+ years of experience

Nagavara Village, Bangalore, India - 560077.

Referral Discount: Get ₹ 500 off when you make a payment to start classes. Get started by Booking a Demo.

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Overview

• A seasoned analytics professional with 14+ years of extensive experience of Risk Management and Marketing Analytics for various Global Banks and Consultancy services
• Hands-on experience of Application, Behavior, Model development
• Experience of handling large volumes of data of various types
• Extensive experience of managing stakeholder’s expectation, understanding their requirements and delivering on them through innovative analytical solutions
• Experience of managing large teams of specialist resources involved in model development, validation, monitoring and governance of models
• 1000+ hours of Training delivered for Data Science, Business Analytics using R, Python SAS, Data Visualization using Tableau
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression

Languages Spoken

English Proficient

Education

Indian Statistical Insitute 2005

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

Address

Nagavara Village, Bangalore, India - 560077

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Teaches

Data Science Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

5

Data science techniques

R Programming, Python, SAS, Machine learning, Artificial Intelligence

Teaching Experience in detail in Data Science Classes

Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression.

Python Training classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Python Training classes

5

Course Duration provided

3-6 months, 1-3 months, 6-12 months

Seeker background catered to

Individual, Educational Institution, Corporate company

Certification provided

No

Python applications taught

Data Analysis with Python , Data Science with Python, Machine Learning with Python

Teaching Experience in detail in Python Training classes

Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression

R Programming

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in R Programming

5

Teaching Experience in detail in R Programming

Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression

SAS Advanced

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in SAS Advanced

14

Tableau Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Tableau Training

5

Class 10 Tuition

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Class 10 Tuition

14

Board

ICSE, CBSE

CBSE Subjects taught

Computer Practices, Information and Comunication Technology, English, Science, Mathematics

ICSE Subjects taught

Mathematics, English

Experience in School or College

Private Tutions

Taught in School or College

Yes

Teaching Experience in detail in Class 10 Tuition

Private tutiions

Reviews

No Reviews yet!

FAQs

1. Which classes do you teach?

I teach Class 10 Tuition, Data Science, Python Training, R Programming, SAS Advanced and Tableau Classes.

2. Do you provide a demo class?

Yes, I provide a paid demo class.

3. How many years of experience do you have?

I have been teaching for 5 years.

Lessons (1)

Basic R Syntax - R assignment operators

The assignment operators that R Supports are given below -> <- = ->> <<-

02/12/2019
0 0
0

Answers by Sushree S. (1)

Answered on 02/12/2019 Learn IT Courses/Data Science

You can prepare for Data Science via taking MOOCs with sites like Coursera, Udemy, etc. which offers virtually free of cost or reasonable price. However, the significant advantage of paid online training institutes is that in case you have any doubts, there will be the option of interacting with faculty... ...more

You can prepare for Data Science via taking MOOCs with sites like Coursera, Udemy, etc. which offers virtually free of cost or reasonable price. However, the significant advantage of paid online training institutes is that in case you have any doubts, there will be the option of interacting with faculty and get support, which is not available with MOOCs. It helps in learning fast as usually, self-learning takes more time in picking up the concepts than faculty-guided learning.

Answers 35 Comments
Dislike Bookmark

Teaches

Data Science Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

5

Data science techniques

R Programming, Python, SAS, Machine learning, Artificial Intelligence

Teaching Experience in detail in Data Science Classes

Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression.

Python Training classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Python Training classes

5

Course Duration provided

3-6 months, 1-3 months, 6-12 months

Seeker background catered to

Individual, Educational Institution, Corporate company

Certification provided

No

Python applications taught

Data Analysis with Python , Data Science with Python, Machine Learning with Python

Teaching Experience in detail in Python Training classes

Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression

R Programming

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in R Programming

5

Teaching Experience in detail in R Programming

Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression

SAS Advanced

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in SAS Advanced

14

Tableau Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Tableau Training

5

Class 10 Tuition

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Class 10 Tuition

14

Board

ICSE, CBSE

CBSE Subjects taught

Computer Practices, Information and Comunication Technology, English, Science, Mathematics

ICSE Subjects taught

Mathematics, English

Experience in School or College

Private Tutions

Taught in School or College

Yes

Teaching Experience in detail in Class 10 Tuition

Private tutiions

No Reviews yet!

Answers by Sushree S. (1)

Answered on 02/12/2019 Learn IT Courses/Data Science

You can prepare for Data Science via taking MOOCs with sites like Coursera, Udemy, etc. which offers virtually free of cost or reasonable price. However, the significant advantage of paid online training institutes is that in case you have any doubts, there will be the option of interacting with faculty... ...more

You can prepare for Data Science via taking MOOCs with sites like Coursera, Udemy, etc. which offers virtually free of cost or reasonable price. However, the significant advantage of paid online training institutes is that in case you have any doubts, there will be the option of interacting with faculty and get support, which is not available with MOOCs. It helps in learning fast as usually, self-learning takes more time in picking up the concepts than faculty-guided learning.

Answers 35 Comments
Dislike Bookmark

Lessons (1)

Basic R Syntax - R assignment operators

The assignment operators that R Supports are given below -> <- = ->> <<-

02/12/2019
0 0
0

Sushree S. describes herself as Data Science and Machine Learning Trainer in R, Python and SAS with 14+ years of experience. She conducts classes in Class 10 Tuition, Data Science and Python Training. Sushree is located in Nagavara Village, Bangalore. Sushree takes Online Classes- via online medium. She has 14 years of teaching experience . Sushree has completed Master of Engineering - Master of Technology (M.E./M.Tech.) from Indian Statistical Insitute in 2005. She is well versed in English.

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