Ishan Raj Gupta

Raipur, Chhattisgarh, India

Since January 30, 2026

Skills

React.js

Experience

Cognifyz Technologies

Frontend Developer

March 8, 2025 – April 8, 2025

Key Strengths

Practical experience with MERN stack components through the 'Expenselo' academic project (React, Node.js, Express, MongoDB).
Foundational understanding of frontend technologies (HTML, CSS) from a one-month internship.
Demonstrated basic to intermediate proficiency in MERN stack as evidenced by the technical assessment score.
However, the candidate's stated experience level (0) and the assessment score (68%) are not aligned with a 'Lead MERN Engineer' role.

Skill Analysis

MERN Stack Development

★★★★★

68%

The candidate achieved 68% on the Lead MERN Developer assessment, indicating a foundational to intermediate understanding of the MERN stack. While demonstrating knowledge in core areas like React and Node.js, the score suggests a need for further development in advanced topics, performance optimization, and comprehensive testing strategies required for a lead position.

MongoDBEnzyme (React Testing)Node.jsReact RouterReact Class ComponentsReact.jsJavaScript

Strengths

Demonstrated foundational understanding of MERN stack components, including Node.js, React, and MongoDB.
Familiarity with React concepts such as Class Components and React Router.
Basic knowledge of JavaScript.

Limitations

Performance indicates gaps in advanced MERN concepts, optimization, and best practices.
Specific areas like Enzyme (testing) might require deeper understanding.
Potential lack of depth in Node.js backend architecture and MongoDB schema design/query optimization.
Overall score suggests a need for more comprehensive knowledge for a lead role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric assessment to evaluate cultural fit.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit