Sambit sourav sahoo
Lead MERN EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and 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
I am a fresher currently pursuing my B.Tech, with a strong foundation in full stack web development. I have hands-on experience working with the MERN stack (MongoDB, Express.js, React.js, Node.js) through academic projects and self-learning. One of my key projects is a Plant Health Monitoring System, where I integrated IoT components like sensors and Arduino to monitor environmental conditions. This project helped me gain practical knowledge in hardware-software integration and real-time data handling. In addition, I have developed web-based applications such as interactive UI projects and mini tools using JavaScript and React, which improved my problem-solving and coding skills. I also have knowledge of Data Structures and Algorithms in Java and C++, which helps me write efficient code. I continuously enhance my skills by learning new technologies, exploring AI integration in projects, and building real-world applications. I am highly motivated, quick to learn, and eager to contribute to a dynamic development team.
The candidate scored significantly below average, indicating a foundational gap in key MERN stack technologies expected at a junior/mid level. This suggests a need for substantial improvement in Node.js, React, and related JavaScript ecosystem skills.
Limitations
Cultural Fit Analysis
The psychometric test score of 63% suggests a moderate alignment with typical workplace expectations regarding logical reasoning, work attitude, stress handling, and team collaboration. This indicates a generally acceptable cultural fit, but there might be areas for growth in specific soft skills.
Soft Skills & Operational Fit
The candidate exhibits a moderate level of communication clarity, grammar, and professional language usage (65% on English test). The psychometric test score of 63% suggests a reasonable fit in terms of logical reasoning, work attitude, stress handling, and team collaboration, indicating a generally positive disposition for a professional environment.
The candidate performed very well, demonstrating a strong foundational understanding of the MERN stack suitable for an intern role. This indicates a solid base in core JavaScript, React, Node.js, and MongoDB.
Strengths
Limitations
The candidate's score is very low, indicating a significant lack of proficiency in Python programming, algorithms, and data analysis concepts. This suggests that Python is not a primary strength.
Limitations
The candidate achieved a perfect score, indicating expert-level knowledge and practical skills in Microsoft Power BI. This is a significant strength in data analytics and visualization.
Strengths