DEEPANA Jayachandran
@deepanajayachandran
Strategic Test Automation Lead with 7+ years driving zero-defect releases and AI-enhanced QA.
What I'm looking for
I am a results-driven Test Automation Lead with over seven years of experience delivering high-quality releases in Agile environments. I focus on building and refining automation frameworks that reduce cycle times and improve reliability.
I have led cross-functional QA efforts, mentored teams, and integrated AI tools like GitHub Copilot to boost developer productivity and cut testing effort—achieving measurable reductions in test time and defects.
My hands-on technical strengths include Selenium, UFT, TOSCA, API and performance testing, and a modern toolchain spanning Git, Maven, Azure DevOps, and Python-based data tooling. I design pragmatic solutions such as POM improvements and customized TOSCA implementations to solve business problems.
I am passionate about applying AI/ML to testing, expanding test coverage, and fostering a culture of quality ownership. I seek roles where I can lead automation strategy, mentor engineers, and deliver consistently reliable software.
Experience
Work history, roles, and key accomplishments
Directed QA across multiple teams, enhancing a Selenium-based automation framework and executing exploratory testing to achieve zero-defect releases; reduced testing effort by 57% by refining the Page Object Model and integrating AI tools like GitHub Copilot.
Delivered manual and automation QA for US healthcare claim adjudication systems, overseeing test design, execution, and defect management; designed a TOSCA solution that reduced manual PDF validation effort by 87%.
Quality Engineering Analyst (SDET)
Developed and maintained a UFT automation framework with integrated performance testing, improving test coverage by 65% and reducing manual effort by 70% by optimizing 300+ test cases in two weeks.
Education
Degrees, certifications, and relevant coursework
Kongu Engineering College
Bachelor of Engineering, Electronics and Communication Engineering
2013 - 2017
Grade: 9.29/10
Activities and societies: Project: AI-Based Facial Recognition System for the Visually Impaired (2017) — real-time model using Python, OpenCV, and SVM with 96% accuracy and text-to-speech output; certifications include Tricentis TOSCA Automation Specialist (Level 1 & 2), Coursera Python for Data Science, and AWS Fundamentals: Machine Learning & AI.
Completed Bachelor of Engineering in Electronics and Communication Engineering with a CGPA of 9.29/10. Coursework included Digital Electronics, Object Oriented Programming, Data Structures and Algorithms, Machine Learning, and Digital Image Processing.
Availability
Location
Authorized to work in
Portfolio
github.com/Deepana-JayachandranSocial media
Job categories
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