Structured QA pipeline for pre-release risk analysis: test coverage, flaky tests, and high-risk components detection
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Updated
Dec 20, 2025 - Python
Structured QA pipeline for pre-release risk analysis: test coverage, flaky tests, and high-risk components detection
ML-powered Jira delivery analytics platform with priority prediction, risk classification, QA analytics, Selenium testing, and Streamlit dashboard.
Power BI analytics over automated test output — flakiness detection, P95 latency, and run-series analysis of a Playwright + Newman suite.
Python/Pandas QA analytics project demonstrating data-quality validation, business-rule testing, controlled vulnerability detection, risk assessment, and visualization of BNPL verification workflows using synthetic data.
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