Ravi Thakre

Designed and executed comprehensive QA strategies aligned with sprint objectives and product vision,
achieving 98% structured test coverage and reducing post-release defects by 35%.
Created and managed traceability matrices, test plans, and daily QA execution reports; led the review and
approval of over 50+ Software Change Requests SCRs) per quarter, ensuring minimal impact

Defined QA strategies for web and mobile platforms, achieving 98% test coverage and reducing post-release defects by 35% while improving release readiness by 25%. Integrated Mixpanel and Datadog for performance insights and boosted automation coverage by 40%.

As a Senior Test Analyst, I led testing efforts for Healthbridge's electronic medical records software, focusing on API testing and collaborating with offshore teams. I utilized Agile methodologies to enhance productivity and ensure quality deliverables.

Led QA strategy and execution across 15+ startup projects, improving release quality by 40% and delivering 90–95% defect-free releases through structured test planning and risk-based testing. Managed and mentored a 6-member QA team.

In my role at Creatella, I managed multiple projects, developed quality plans, and designed test cases. I prioritized defects and collaborated with teams to enhance productivity and meet client expectations.

As a Test Analyst at Gyrus Systems, I created and managed test scripts for regression and load testing. I was involved in preparing test cases and collaborating with developers to resolve issues.

In my position at Crest Infosystems, I led the creation of test cases and executed tests for various projects, ensuring quality and user satisfaction through thorough analysis and defect management.

As a Test Engineer, I created and maintained test cases for client websites, ensuring functional and non-functional requirements were met. I also participated in test planning and defect tracking.

Grade: A

Activities and societies:

Master-level study in artificial intelligence and machine learning through Purdue University's online program.

Grade: A+

Bachelor of Engineering in Information Technology emphasizing core IT concepts and software development fundamentals.

Completed an online Master-level program in Artificial Intelligence and Machine Learning focused on applied ML techniques and tooling.