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Sushree S.

Nagavara Village, Bangalore, India - 560077

Sushree S. Data Science trainer in Bangalore

Platinum

Sushree S.

Data Science and Machine Learning Trainer in R, Python...

Nagavara Village, Bangalore, India - 560077.

5.0

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Details verified of Sushree S.

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Education

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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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Demo Class

Yes, charged

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Data Science Classes Overview

Data Science Classes

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Data Science Classes

5

Data science techniques

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

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.

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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 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 29 Comments
Dislike Bookmark
Data Science Classes 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Data Science Classes

5

Data science techniques

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

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 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Python Training classes

5

Course Duration provided

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

Seeker background catered to

Individual, Educational Institution, Corporate company

Certification provided

No

Python applications taught

Machine Learning with Python, Data Science with Python, Data Analysis 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 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

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 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in SAS Advanced

14

Tableau Training 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Tableau Training

5

Class 10 Tuition 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Class 10 Tuition

14

Board

ICSE, CBSE

CBSE Subjects taught

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

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

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No Reviews yet! Be the first one to Review

Answers by Sushree S. (1)

Answered on 02/12/2019 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 29 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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