🎯 Senior QA Analyst | QA Leadership Enthusiast | AWS & AI Certified | Data Science Explorer

With over 10 years of experience across education, finance, and e-commerce, I specialize in quality assurance and test automation for enterprise systems. I’ve led QA strategy for major transformations like UBC’s Workday Student project, and I’m now expanding into cloud technologies, DevOps practices, and data science.

• Quality Engineering: Enterprise QA, test automation, CI/CD pipelines.
• Cloud & AI: AWS Cloud Practitioner & AI Practitioner certified
• Data Science: UBC Data Science certification, machine learning, and NLP projects
• Tools: Python · Selenium · Jenkins · JIRA · GitHub · SQL · Postman · Tableau · Workday Student

Fake currency note detection using image classification with Streamlit and ML models.

Deploying ML-based recommendation engines on various platforms.

Collection of exercises, notebooks, and learning artifacts from UBC’s Data Science program.

Projects and submissions from data science competitions and Kaggle challenges.

Fundamentals of TensorFlow models and applications

Exploring automation and CI/CD pipelines with test strategy implementations.

• NLP Experiments — NLP notebooks and experiments
• JupyterLab Practice — Learning notebooks and sandbox work
• TensorFlow Learning — Deep learning and regression algorithms
• Git & Assignments — GitHub, version control, and coursework
• CI/CD Postman Collection — API testing and Postman collection examples

• ✅ AWS Certified Cloud Practitioner
• ✅ AWS Certified AI Practitioner
• ✅ ISTQB® Certified Tester Foundation Level
• ✅ Certified ScrumMaster® (CSM)
• ✅ UBC – Project Management Fundamentals
• ✅ UBC – Key Capabilities in Data Science

• DevOps practices for QA
• JavaScript for test automation
• Docker, Datadog, and observability tools
• AI/ML applied to QA and testing

• ✉️ Email: [email protected]
• 💼 LinkedIn
• 🌐 GitHub

Let’s connect, collaborate, and grow 🚀