Subrahmanyam S.

Subrahmanyam S.

Data Scientist - Machine Learning Engineer

New Delhi , India

Experience: 13 Years

Subrahmanyam

New Delhi , India

Data Scientist - Machine Learning Engineer

20252.2 USD / Year

  • Start Date / Notice Period end date: 2022-01-15

13 Years

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About Me

  • Senior Data Scientist and experience  in building predictive models using Machine Learning algorithms in Statistical R and Python programming

 

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Portfolio Projects

Title: Credit Card defaulter prediction. Description: As part of risk analytics initiative project,

Company

Title: Credit Card defaulter prediction. Description: As part of risk analytics initiative project,

Description

 

Title: Credit Card defaulter prediction.

Description: As part of risk analytics initiative project, We applied Machine learning techniques to address financial risk related problems. We developed a ML model using logistic regression to predict defaulter.  

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Skills

Python

Tools

Notepad ++

Title: Sentiment Analysis using Text Mining

Company

Title: Sentiment Analysis using Text Mining

Description

 

Title: Sentiment Analysis using Text Mining

 

Description: Detected how the consumer is reacting to newly launch banking product, Performed sentiment analysis using overall conversation about them as well as product-related discussions. Deeper analysis of product-related discussions gives banks detailed insights. We developed model using Spacy

 

Responsibilities:

 

*     Developed python code to apply text mining techniques using Spacy and Gensim libraries

 

*     Executed the customer insight using Natural Language Processing, stemming and lemmatization, named entity recognition, text classification techniques

 

*     Validated the models using statistical methods and interacted with data architects and clients to get approval

  

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Skills

Python

Tools

Notepad ++

Title: Customer Credit Score prediction using R and H2O.

Company

Title: Customer Credit Score prediction using R and H2O.

Description

Title: Customer Credit Scoring using R and H2O.

 

Description: As part of HSBC Retail Credit Risk analytics, We applied Machine learning techniques to get credit scoring . We developed a ML model using GBM algorithm in R with H2O framework on a Microsoft Machine Learning Platform. The banking operations are using this model sectioning loans.

Responsibilities:

*     Executed data pre-processing, interacting with data architects and client

*     Developed model-ready data and machine learning model

*     Validated each using statistical methods and tuned the parameters for better accuracy

 

  

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Tools

R studio

Title: UAE customer income estimation.

Company

Title: UAE customer income estimation.

Description

 

Title: UAE customer income estimation.

 

Description: As part of HSBC Retail Credit Risk analytics for MENA region, We applied Machine learning techniques to estimate customer income. We developed a ML model using regression models R with H2O framework on a Microsoft Machine Learning Platform. The banking operations are using this model to target right customers for right products.

 

Responsibilities:

 

*     Executed data pre-processing, interacting with data architects and client

 

*     Developed model-ready data and machine learning model

 

*     Validated each using statistical methods and tuned the parameters for better accuracy

  

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Skills

R Language

Tools

R studio