Ankita Singh
AI Product Quality Analyst | Driving Excellence in Testing with Postman, Jira & Functional QA
- Role
- Ai Product Quality Analyst at Birdeye
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Ankita Singh
At Birdeye, contributed to improving chatbot stability by 40% through collaboration with developers and timely bug resolution. Played a key role in creating and executing test plans, cases, and automated scripts, while reducing manual QA data processing time by 35% using Python. Manual testing across web and mobile platforms ensured performance optimization and defect identification. A Bachelor of Science graduate from Banaras Hindu University, proficient in pytest, UI testing, and functional testing. Certified in API manual/automation testing and data analysis using Python and Microsoft Excel. Dedicated to driving quality assurance and enhancing user experience in AI products through comprehensive testing strategies.
Experience
Ai Product Quality Analyst
Jun 2024 — Present · IN
Test Planning Execution:Developed, documented, and executed detailed test plans, test cases, and test scripts for new features and product updates.• Performed manual testing of web applications and mobile platforms to identify defects and ensure optimal performance.• Bug Identification Reporting: Performed API validation using Postman, verifying payloads, latency, andresponse accuracy; documented issues in Jira with a 80%. Identified, logged, and tracked defects using issue tracking tools (e.g, Jira) and ensured proper resolution. Work with developers to troubleshoot, reproduce, and verify bugs.• Regression Performance Testing: Performed regression testing to ensure new releases do not negatively impact existing functionality. Conduct performance testing to ensure the scalability and reliability of the SaaS product.• Drove QA strategy for 3+ LLM agents, enabling scalable validation and measurable gains in engagement, review volume, and conversions.• Collaboration: Coordinated with developers to fix bugs in a timely manner, enhancing chatbots stability by 40%• Automated repetitive QA data cleaning tasks using Python, cutting manual processing time by 35% and standardizing review datasets for analysis.• Constructed over 300 clear and concise test cases, ensuring thorough product evaluation.
Education
Banaras Hindu University
Bachelor of Science - BS
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