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DEEPANA Jayachandran

@deepanajayachandran

Strategic Test Automation Lead with 7+ years driving zero-defect releases and AI-enhanced QA.

India
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What I'm looking for

I seek senior roles in test automation where I can lead automation strategy, apply AI to improve test efficiency, mentor teams, and deliver zero-defect releases in collaborative Agile environments.

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

IN
Current

Automation Test Lead (SDET)

Nov 2021 - Present (4 years 7 months)

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.

Education

Degrees, certifications, and relevant coursework

KC

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.

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