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QA Engineer with 3+ years in Quality Assurance, Compliance & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quality Assurance professional with 4+ years of experience in the pharmaceutical and clinical industries, specializing in compliance, audits (internal & external), QMS, regulatory documentation, CAPA, and validation. Proficient in GMP, GLP, GCP, ICH guidelines and ISO regulations, ensuring adherence to industry standards and regulatory requirements. Currently upskilling in Data Science with completed modules in SQL and Python basics, with a strong interest in data analytics, quality metrics, and process improvement.
Mascot Spincontrol Pvt Ltd
Executive Quality Assurance
April 1, 2023 – Present
India
Zydus Takeda Healthcare Pvt. Ltd.
Officer Quality Assurance
July 1, 2021 – April 1, 2023
India
Certified ISO 9001:2015 Lead Auditor
CQI|IRCA
June 1, 2026 – Present
Quality Management System in Pharmaceutical Industry
Unknown
June 1, 2026 – Present
Data Science Course (In Progress) – Completed SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is highly specialized in pharmaceutical and clinical QA, indicating a strong fit for roles within regulated industries. Their pursuit of a Data Science course suggests an interest in continuous learning and process improvement, which aligns with a culture of innovation and data-driven decision-making. However, the lack of diverse project experience outside of highly regulated QA might limit adaptability to less structured or different industry environments.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, a systematic approach to quality assurance, and a commitment to regulatory compliance. Their experience in managing QMS, conducting audits, and performing root cause analysis indicates strong problem-solving and analytical skills. The ability to coordinate with production and warehouse teams suggests good collaboration and operational fit within a structured QA environment.