Tarang Sharma

Project: Pearson
Domain: Elearning
Automation Tools: Rest Assured, Java, Cucumber, Git, BDD Framework
Roles and Responsibilities:

Project: FrontLine Education (A & T)
Domain: Elearning
Automation Tools: Selenium, Java, TestNG, BDD Framework 
Roles and Responsibilities: 

Project: FrontLine Education (SEI)
Domain: Elearning
Automation Tools: Cypress, JavaScript, Typescript, mocha chai assertions, BDD Framework
Roles and Responsibilities: 

Project : Paperscorer
Client : Google Forms, Canvas LMS, Learnosity
Position : Software Testing Engineer II
Domain : eLearning

About the Project: Paper Scorer is a mobile App in order to score student's OMR sheet. Paperscorer consists of mobile application along with web interface and there are paperscorer add-on for Google Docs & Canvas LMS
Roles and Responsibilities: 

• Creating Automated test Suite of paperscorer web interface using Selenium webdriver & TestNG 

• Creating, Reviewing and Updating the test cases 

• Web service testing via 'Postman' 

• Responsible on executing test cases across browsers and mobile devices compatibility. 

• Manual testing, Bug review, logging tickets, defect reporting and monitoring through JIRA. 

• Functional Testing, Regression, Compatibility and Smoke Testing 

• Testing of Paperscorer Google Plugin.

Project : HBR (HARVARD BUSINESS REVIEW)
Client : HARVARD BUSINESS PUBLISHING, Boston (USA)
Position : Software Test Engineer
Domain : E-Learning

About the Project: HBR is an e-learning web application which is used in Educational Institutions to teach students by leveraging powerful content under the supervision of Faculty/Instructor.

My Responsibilities:
● Testing on iOS and Android based Mobile devices and Tablets.
● Creating automation script for web application of HBR
● Executing Scripts for Regression, Smoke and Sanity testing.
● Finding Defects, Report and Track them using JIRA.
● Interaction with offshore Testing and Development Team in daily scrum.

Project: ARVAS Client: VI Dimensions
Position: Software Testing Engineer
Domain: Desktop Application & Machine Learning

About the Project: ARVAS is a desktop application which uses Artificial Intelligence to track the anomalies that occur in a location CCTV camera. It raises an alarm every time something unexpected happens.

My Responsibilities: 
● Creating Automation script for testing Desktop application of ARVAS 
● Back end testing using MySQL DB 
● Executing Scripts for Regression, Smoke and Sanity testing. 
● Finding Defects, Report and Track them using JIRA. 
● Interaction with offshore Testing and Development Team in daily scrum.