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QA Engineer with 3+ years in QA Testing & Data Annotation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a Quality Analyst, I specialize in ensuring products, services, and processes meet high standards. I conduct thorough testing, identify defects, and collaborate with teams to improve quality. Proficient in QA tools and methodologies, I drive efficiency and continuous improvement.
Indus University
Bachelor of Science · Computer Engineering
August 1, 2019 – June 30, 2023
CureSkin
Quality Analyst
December 1, 2023 – April 30, 2026
India
CureSkin
Quality Analyst Treinee
May 1, 2023 – November 30, 2023
India
CureSkin
Data Annoter
July 1, 2022 – April 30, 2023
India
Cultural Fit Analysis
The candidate has worked exclusively at one company, CureSkin, across three roles, which indicates loyalty but also a lack of diverse industry or company exposure. The roles are generally aligned with QA, but the 'Data Annotator' role, while related to quality assurance, is not directly a QA engineering role. The listed skills are foundational for QA but do not demonstrate breadth in advanced QA methodologies, tools, or automation beyond 'AI automation testing' which is not elaborated upon. This suggests a potentially limited exposure to varied team dynamics and technical challenges, which might impact cultural adaptability in a new environment requiring diverse technical interactions.
Soft Skills & Operational Fit
The candidate demonstrates a foundational understanding of QA processes through their trainee and analyst roles. Their experience in data annotation for AI models suggests an ability to work with detailed data and contribute to quality assurance in specialized domains. However, the descriptions lack specific examples of problem-solving, initiative, or leadership, which are crucial for senior-level operational fit. The project management assistance mentioned in the latest role description is vague and doesn't clearly articulate QA-specific contributions.