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Quality Assurance Analyst with 3+ years in functional and non-functional testing for web and mobile
Miriam Cardozo is a dedicated Quality Assurance Analyst with 3.5 years of experience across functional, non-functional, regression, and end-to-end (E2E) testing for various platforms including web and mobile applications. Her expertise spans test planning, execution, defect management, and continuous improvement of quality practices, including accessibility audits and validating AI-driven workflows. With a strong foundation in data analysis and process optimization, she leverages tools like Jira, Postman, and Cypress to deliver reliable and high-quality software products.
National University of Córdoba
Ph.D. · Biological Sciences
August 1, 2017 – June 30, 2022
Natural Tech House
Quality Assurance Analyst
March 1, 2024 – Present
India
Afrus Impact Technologies
Quality Assurance Specialist
July 1, 2023 – February 1, 2024
India
uTest
Quality Assurance Tester
January 1, 2023 – June 1, 2023
India
Swiss Tropical and Public Health Institute
Data Analyst Intern
April 1, 2022 – August 1, 2022
India
Freelance
Consulting in Data Analysis
March 1, 2022 – December 1, 2022
India
AI Automation & Workflow Orchestration
Coderhouse
January 1, 2025 – Present
Functional Analysis
Educación IT
January 1, 2024 – Present
Testing QA Manual
Coderhouse
January 1, 2023 – Present
Data Analytics
Coderhouse
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies (Natural Tech House, Afrus Impact Technologies, uTest) and roles (QA Analyst, QA Specialist, QA Tester, Data Analyst) suggests adaptability and a broad perspective on quality assurance. Their involvement with AI automation and workflow orchestration, along with web accessibility audits, indicates an interest in modern QA challenges and inclusive practices. The blend of academic rigor (Ph.D.) and practical industry experience positions them as a well-rounded professional capable of contributing to various team dynamics and project types.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, structured problem-solving, and a continuous improvement mindset, which are crucial for a senior QA role. Their experience in collaborating with stakeholders to define quality standards and improving production incident management processes indicates good operational fit and a proactive approach to quality assurance. The Ph.D. background further reinforces their capacity for rigorous analysis and data-driven decision-making.