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Hi there, I'm Jaime Ariel! πŸ‘‹

🐞 QA Engineer & πŸ“Š Aspiring Data Scientist

I am a passionate learner bridging the gap between Software Quality and Data Science.

I spent the early part of my career in Manual QA, developing a sharp eye for detail and user experience. Over the last year, I've leveled up into Test Automation while simultaneously learning about Data Science.


πŸš€ My Journey

I believe in continuous growth. Here is my current trajectory:

  • Past: Mastered Manual QA methodologies, bug tracking, and user empathy.
  • Present: Building Automation frameworks to create clean, maintainable tests.
  • Future: My ultimate goal is to combine my testing discipline with data science to build, deploy, and monitor robust machine learning models.

πŸ› οΈ Tech Tools

Quality Assurance
Jira Zephyr Postman C# MSTest WCAG NVDA axe Docker Git Selenium Screenplay GitHub Actions

Data Science
Python Jupyter Pandas Matplotlib Seaborn SQL NumPy SQL Scikit-Learn Keras XGBoost MLOps


🧠 What I'm Learning Right Now

I am a lifelong learner. I'm currently diving deep into:

  1. Screenplay Pattern Best Practices: Moving beyond Page Object Model to create more modular tests.
  2. Machine Learning Algorithms: Deepening my understanding of regression and classification models.
  3. CI/CD Pipelines: Learning to integrate my automated tests into deployment workflows.

πŸ“« Let's Connect!

I am currently open to roles in QA Automation with a path toward data-driven roles. If you want to chat about testing architecture, data trends, or just want to say hi:

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