Malaya Ranjan Peda

Node JS Developer

https://www.opentalent.in/malaya-ranjan-peda-1

IndiaMember since December 20, 2025

Key Strengths

Strong proficiency in MERN stack technologies (Node.js, React.js, MongoDB, Express.js) as evidenced by project work and a high MERN assessment score.
Demonstrated ability to design and implement full-stack applications with features such as JWT authentication, payment gateways, and media management.
Solid foundational understanding of DevOps practices including AWS, Terraform, Docker, and CI/CD tools (Jenkins, GitHub Actions).
Experience with containerization, image scanning, and secure infrastructure deployment.
Certified in Node.js (Intermediate), validating expertise in backend development and REST APIs.
Currently pursuing a Master's degree, indicating a commitment to continuous learning and a strong academic foundation in relevant computer science topics.

Skill Analysis

Java

★★★★★

100%

The candidate scored 100% on this intern-level Java assessment, indicating a complete understanding of the basic Java concepts tested.

Core JavaOOPBasic Programming

Strengths

Demonstrated excellent foundational knowledge in Java programming.
Achieved a perfect score, indicating a strong grasp of core Java concepts.

Limitations

The test is at an 'Intern' level, so it does not assess advanced Java features or enterprise-level application development.
Does not provide insight into Java frameworks like Spring.

MERN Stack

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 71% suggests a reasonable alignment with typical workplace expectations regarding logical reasoning, work attitude, stress handling, and team collaboration, indicating a generally positive cultural fit.

Soft Skills & Operational Fit

The psychometric test score of 71% indicates a good foundation in logical reasoning, work attitude, stress handling, and team collaboration. This suggests a generally positive operational fit and ability to adapt to workplace dynamics.

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Assessing your cultural and operational fit