Proactive Automation Engineer possessing in-depth knowledge of various programming languages and best practices for development. Solutions-based collaborator well-versed in testing and simulating automated machinery, developing and implementing automated testing methodologies and supervising testing activities. Offering 3+ years of experience creating and applying technology to monitor and control production and delivery of Web/Mobile Based Tools.
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Research Work:
● Title : Spatial Mining of Web-Log to observe reachability of Website
Publication: 4TH-international conference on computational intelligence and communication technology(CICT-2018)
Author : Kamakshi, Deepti Mehrotra and Vikas Deep
Conference Date : 09-10 February 2018 Paper ID : CICT-146
URL : https://ieeexplore.ieee.org/document/8480173/keywords#keywords
● Title: “Phenomenology Methodology analysis of website usability"
Conference Date : 21-23 December 2018 NSPEC Accession Number: 18851543
Author : Kamakshi, Deepti Mehrotra and Vikas Deep
URL: https://ieeexplore.ieee.org/document/8769241/authors#author
Testing scripts
· Hardy OSS Employee Partnership Award: May -2022
It was an award for my contribution to the MBNL project by automating 1000+ test cases and reducing a considerable amount of manual effort and delivering a quality product.
· Power Award QA 2021
This award was given for my outstanding contributions to MBNL testing and winning the best buddying young talent runner-up award as part of Testing Day3.0
· Best Budding Talent: Dec 2021
This Award was awarded for my contributions to the Testing competency not only for catching up on the required project technologies but also for learning and delivering new technologies and participating In POCs.
· Rockstar Award Q4 2020
This was awarded for my excellent performance in the Telstra project for automating complex Test Scenarios
· BMAS SL IT & ADM Excellence Award: Dec 2019
It was the first award I received as a fresher with five months of experience. I have created an automated end to end flow testing starting from the execution of the test to creating a word document for test artifacts.