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User

Data Engineer

BMT Score
86
86%
  • Remote

Available for

About VIVEKANAND

Skilled Data Engineer / Data Scientist with functional expertise in python, data modeling, SQL, MySQLandMongoDB.
 Good hands-on experience of building data engineering processes, EDA, developingMLmodels,API creation using Flask, Data Wrangling.
 

Tech Stack Expertise

  • Tech Stack Expertise

    MySQL

    MySQL

    0 Years
  • Tech Stack Expertise

    AWS

    AWS S3,AWS EC2

    0 Years
  • Tech Stack Expertise

    Python

    Python

    0 Years
  • Tech Stack Expertise

    Go Lang

    VSCode

    0 Years
  • Tech Stack Expertise

    Node JS

    Express

    0 Years
  • Tech Stack Expertise

    HTML

    HTML

    0 Years
  • Tech Stack Expertise

    Microsoft SQL Server

    SQL

    0 Years
  • Tech Stack Expertise

    MongoDB

    MongoDB

    0 Years
  • Tech Stack Expertise

    Microsoft .Net

    Rest API

    0 Years

Work Experience

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Data Engineer

  • January 2019 - January 2023 - 4 Year
  • India

Projects

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Model Retraining For A Feedback-based System

  • June 2022 - October 2022 - 5 Months
Technologies
Role & Responsibility
     Aim to provide a simple blueprint for automated model retraining using Python andMLalgorithms.
    Data stored in MySQL database is retrieved using python and python libraries.
    It includes splitting of the data set into a training and testing set, generates featuresfromtherawdata, 
    and performs hyperparameter tuning. The end result is a trained model foundthroughsomesearch procedure. 
     Model is serialized it needs to be stored in AWS S3, so that it can be easily retrievedat inferencetime.
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: Document Classification System

  • July 2021 - January 2022 - 7 Months
Technologies
Role & Responsibility
    Document classification is an example of Machine Learning (ML) in the formof Natural LanguageProcessing (NLP). 
     It involves Text-Pre-processing, Dynamic Language modeling, Natural Language Processing.
     TF-IDF is used to find the features of intra-class documents. 
    Created ML model for prediction, API using flask framework and deployed model oncloud.
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Business Lending Solutions

  • June 2020 - February 2021 - 9 Months
Technologies
Role & Responsibility
    We have automated the loan approving process. It includes the identification, structuringandexecution 
    of transactions for its clients in diverse industries and geographies. 
     Consolidate credit card debt, cover medical expenses, or make needed home improvements,apersonal 
    loan can help you get it done fast.  Created ML model for prediction, API using flask framework 
    and deployed model oncloudforautomated loan approval process
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Power Demand Forecasting Using Time Series Analysi

  • December 2019 - May 2020 - 6 Months
Technologies
Role & Responsibility
    Building an AI-controlled programming, that will establish an ideal climate and savepower.
     The organization improves on giving conveyed power interest, during the pinnacleandsimultaneously cutting the interest at least utilization. 
     Models might be chosen for evaluation based on the presumptions they make andregardlessofwhether the data sets conform
    The model is used to make forecasts and the performance of those forecasts is evaluatedandskillof the 
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Python Based Rest API

  • April 2019 - September 2019 - 6 Months
Technologies
Role & Responsibility
     Rest API to help client to onboard their customers using nation ID’s (NID) like pancard, etc.
     This has helped the business to seamlessly identify their customers and provide verificationwithleast manual interaction. 
     Restful APIs were created with python 3.8 and Kafka was used for asynchronous datastorage.Mongo 6.0 is used for data storage. 
     Data is stored as JSON and synchronized in real-time to every connected client.
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Industry Expertise

Education

Education

in Bachelor Of Engineering

Pune University
  • June 2012 - June 2014

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