Dinesh Tagra (Istqb, Csm, Iti Lv3)
About Dinesh Tagra (Istqb, Csm, Iti Lv3)
Dinesh Tagra is a Test Lead with over nine years of experience in software testing, currently working for the Government of Canada. He has held various positions in notable organizations, including Nova Scotia Power and IBM, and has a strong academic background in software engineering and computer science.
Current Role at Government of Canada
Dinesh Tagra serves as a Test Lead at the Government of Canada since 2019. In this role, he is responsible for overseeing testing activities and ensuring the quality of software products. His position involves coordinating testing efforts and collaborating with various teams to enhance software reliability and performance.
Previous Experience at Nova Scotia Power
Prior to his current role, Dinesh worked at Nova Scotia Power as a Senior QA/QA Lead from 2016 to 2019. During his three years in Halifax, Nova Scotia, he focused on quality assurance processes and contributed to the development of testing strategies that improved software quality within the organization.
Educational Background in Software Engineering
Dinesh Tagra obtained a Master of Software Engineering from Thapar Institute of Engineering and Technology, where he studied from 2007 to 2009. He also holds a Master of Computer Science from Dalhousie University, completed between 2009 and 2011. His foundational education includes a Bachelor of Technology in Electronics and Telecommunication Engineering from the University of Rajasthan, earned from 2003 to 2007.
Professional Certifications and Skills
Dinesh holds several professional certifications, including ISTQB Foundation Level, ISTQB Agile, Certified ScrumMaster, and ITIL v3 Foundation. He has over nine years of experience in software testing, specializing in manual testing and test automation using IBM RFT. His expertise extends to providing third-level support for Linux-based applications and servers.
Research and Publications
Dinesh has published international papers focusing on Cost Estimation and Neural Networks. His research interests include improving software processes and exploring various areas within Computer Science, reflecting his commitment to advancing knowledge in the field.