Pravin Motiram Alandikar

NHCE

Pune, Maharashtra, India

Since April 19, 2026

About

Detail oriented QA professional with 3.8 years of experience in testing investment banking applications. Expertise in functional, regression, and UAT testing, defect management, and API validation. Strong understanding of trade life cycle with a proven ability to ensure system accuracy and stability.

Skills

CommunicationTestingProblem SolvingUsability TestingQA EngineersMobile TestingSIT/UATQA methodologiesApi TestingJiraAgile MethodologiesTest Driven DevelopmentUnit TestingBanking SystemsRisk Based Testing

Education

NHCE

B.E · Mechanical engineering

August 5, 2015 – June 1, 2020

Experience

Infosys Itd

Senior Associate Consultant

June 12, 2022 – February 4, 2026

India

Key Strengths

Strong experience in manual, functional, regression, and UAT testing within the banking and investment banking domains.
Proficient in defect management using JIRA and GitLab, and API validation with Postman.
Experience in Agile environments and supporting application release cycles.
Possesses ISTQB CTFL certification, indicating a foundational understanding of testing principles.
Good alignment with core QA Engineer responsibilities, especially in a banking context.

Skill Analysis

QA Automation with Java & Selenium

★★★★★

67%

The candidate achieved 67% on a test evaluating QA, Java, and Selenium skills, indicating a fair grasp of fundamental concepts but suggesting areas for improvement in advanced automation techniques and specific challenges like MFA test automation.

TestingManual TestingUnit TestingQA MethodologiesJavaSelenium WebDriverTest AutomationMulti-factor Authentication TestingAPI Testing

Strengths

Demonstrated foundational understanding of QA principles and testing methodologies, including manual and unit testing.
Possesses basic knowledge of Java and Selenium for test automation.

Limitations

Limited proficiency in advanced Java and Selenium for complex test automation scenarios, particularly in implementing robust solutions for multi-factor authentication.
Potential gaps in designing scalable and maintainable automation frameworks.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 64% suggests an average alignment with typical workplace values regarding logical reasoning, work attitude, stress handling, and team collaboration. Further assessment would be beneficial to confirm deep cultural fit.

Soft Skills & Operational Fit

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