Gathering requirement and creating system requirement document and high-level design document.Analyzing system and understanding data.Develop web service to do document classification, entity extraction and generate output which can be integrated to kafka pipeline.Entity extraction service which was developed uses Glove embedding using bidirectional-LSTM, tornado.Working on integrating the model into Wipro HOLMES pipeline.Giving walkthrough for the developed solution to the business team.

Gathering requirement and creating high-level design document .Analyzing and understanding data and cleansing using PythonDeveloped classification model using SMOTE and XGBoost.Giving walkthrough for the developed solution to the business team.

Analyze and work on labeling the data with the help of support teamCreated classification model for classifying the ticket and assigning it to correct team.

It was a migration project in which we were asked to migrate the system from SAS to python.Optimizing the model to improve performance using ML tools like GridSearchCV.

Project 1 : Wipro Holmes Duration: JUL 2019 – Till date

Client : Alight USA.

Tools : python,sklearn,NLTK and Deep learning .

Responsibilities:

• Gathering requirement and creating system requirement document and high-level design document.
• Analyzing system and understanding data.
• Develop web service to do document classification, entity extraction and generate JSON output which can be integrated to kafka pipeline.
• Entity extraction service which was developed uses Glove embedding using bidirectional-LSTM, tornado.
• Working on integrating the model into Wipro HOLMES pipeline.
• Giving walkthrough for the developed solution to the business team.

Project 2 : Customer Review Analysis Duration: OCT 2018 – MAR 2019

Client : Ameriprise USA

Tools : python,sklearn,NLTK and Deep learning .

Responsibilities:

• Gathering requirement and creating high-level design document .
• Analyzing and understanding data and cleansing using Python
• Developed classification model using SMOTE and XGBoost.
• Giving walkthrough for the developed solution to the business team.

Project 3 : ServiceNow Comment Analysis Duration: APR 2018 – SEP 2018

Client : Ameriprise USA

Databases : Oracle,

Tools : Python,

Responsibilities:

• Analyze and work on labeling the data with the help of support team
• Created classification model for classifying the ticket and assigning it to correct team.

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