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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Skills
Data & Analytics
Web Development
Programming Language
Others
Database
Positions
Portfolio Projects
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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PythonTools
Notepad ++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
PythonTools
Notepad ++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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Skills
R Language H2O FrameworkTools
R studioCompany
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 LanguageTools
R studio