Jyoti Sinha

Full Stack SDET | Machine Learning | Deep Learning

Role
Consultant at KPMG India
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers
General Business & ManagementView LinkedIn profile

About Jyoti Sinha

Seasoned full stack SDET with 11 years of experience of automation testing and framework…

Experience

  1. Consultant

    KPMG India

    Mar 2020 — Present · Bangalore, IN

    Contributed to semi supervised NLP classification model using algos like Random forest, Logistic regression with ensemble technique for better accuracy.• Experience on Deep learning models like CNN using PyTorch libraries with labeled and non-labeled data with hyper tuning techniques like early stopping, Learning rate scheduler and weight decay.• Worked on Data pipelines using AzureML to streamline ETL process with experimentation technique MLFlow, EDA with advanced libraries like Scikit LearnExperienced in CICD pipeline creation and maintenance for UI automation suite in Azure platform and Git repo. Experienced in enhancement and maintenance of smoke and regression suite using C#, selenium and NUnit. Worked on API automation framework creation using Rest Sharp and API functional testing using Postman and Swagger.

Education

  • Wbut

    Bachelor of Technology (BTech)

    2008 — 2012

Skills

  • Selenium Webdriver
  • Hp Qtp
  • Qc Tools
  • Behavior-Driven Development (Bdd)
  • Java
  • Jira
  • Javascript
  • Agile Methodologies
  • C
  • Sql
  • Core Java
  • Mysql
  • Agile & Waterfall Methodologies
  • Perl Automation
  • Test Ng Framework
  • Iot
  • C#
  • Restful Webservices
  • Soapui
  • Groovy
  • Test Automation Framework

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Jyoti Sinha — Consultant at KPMG India in Bengaluru, KA, IN | Unifers