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data scientist
Zibal Technologies•  November 2018 - Present
1) Responsible for end to end engineering on ML products pipelines from data mining, data cleaning , to modelling and deployment on cloud (AWS). 2) Automated tasks like tokenization, lemmatization, and various other NLP preprocessing tasks by setting up a flexible sequential system for performing tasks that earlier need to be done manually, based on requirements. 3) Working closely on deployment side to take care of setting up the product on cloud infrastructures like AWS and Azure by binding the models into a Flask Web Application or by creating REST APIs for inferencing to the models. 4) Leveraged a wide range of data analysis and statistical modeling algorithms as methodologies for solving current business problems.
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