Resume

Resume

Download the latest PDF version of my resume, or review the summary below. For job-search conversations, email tetiana.qa.data.jobs@gmail.com.

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Summary

Software QA Engineer and Data Science graduate student with 9+ years of experience in software testing, automation, regression strategy, release validation, and defect analysis. Strong background in Python-based QA automation and growing specialization in applied machine learning, data quality, and production-minded data products.

Target roles

  • QA Automation Engineer / SDET
  • Data Quality Engineer
  • ML QA / AI Testing Specialist
  • Data Analyst with automation background
  • Applied Data Scientist / ML Engineer transition roles

Technical skills

QA & Automation

Manual QA, regression testing, mobile testing, Appium, Sauce Labs, Selenium exposure, API testing, test plans, test cases, release support.

Data & ML

Python, Pandas, NumPy, scikit-learn, TensorFlow/PyTorch exposure, regression, classification, clustering, evaluation metrics.

Systems & Tools

SQL, Jira, Confluence, Git/Bitbucket, CI/CD awareness, logs, crash metrics, cloud/data pipeline concepts, Azure/GCP/Databricks exposure.

Experience highlights

  • Reported 512 product defects and closed 474 bugs across feature, regression, and release workflows.
  • Closed 427 total tickets with a 99.3% story completion rate.
  • Authored 220 of 447 new feature test cases created by the QA team during the tracked period.
  • Supported release nights, mobile QA, automation, and defect triage using technical evidence.
  • Used crash/log data and non-fatal exception reporting to support data-driven quality conversations.

Education

Boston University
Master of Science in Data Science, expected 2026

Computer Science background
Coursework and training across software engineering, QA automation, Python, and applied machine learning.

Portfolio proof

For a deeper view of my work, start with the World Publishing Houses case study and the Residential Property Value Prediction capstone.

WPH case studyData science projects