SIDDHARTH KUMAR

Java Intern

https://www.opentalent.in/siddharth-kumar-2

Patna, Bihar, IndiaMember since March 14, 2026

Key Strengths

Strong foundational Java skills, as evidenced by the 95% score in the Java Intern test.
Demonstrated ability to build full-stack applications using Java (Smarter Work Management System project).
Experience with multiple databases (MySQL, MongoDB) and web technologies (HTML, CSS, JavaScript).
Exposure to AI/ML concepts and practical application in projects (YouTube Sentiment Analysis, Research & Publications).
Good understanding of SDLC and Agile practices, which are valuable for project execution.
The candidate's core Java proficiency and project experience align well with the requirements for a Java Intern role.

Skill Analysis

Java

★★★★★

95%

Achieved a near-perfect score, indicating a strong grasp of fundamental Java concepts and problem-solving abilities at an intern level.

javaCore JavaOOPBasic SyntaxProblem Solving

Strengths

Demonstrated strong foundational knowledge in Java.
Excellent performance in core Java concepts and problem-solving.
High accuracy in technical implementation related to Java.

Limitations

The assessment primarily covered intern-level Java; depth in advanced Java features or frameworks (e.g., Spring Boot, Concurrency) was not explicitly evaluated.
Practical application in larger systems or design patterns was not assessed.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 66% indicates a moderate cultural fit, suggesting an acceptable baseline for logical reasoning, work attitude, stress handling, and team collaboration. Further assessment during interviews would be beneficial to gauge specific cultural alignment and interpersonal skills.

Soft Skills & Operational Fit

The psychometric test score of 66% suggests moderate aptitude in logical reasoning, work attitude, stress handling, and team collaboration. The resume lists problem-solving, communication, adaptability, and leadership as self-assessed soft skills. The research publication indicates an ability to engage in complex problem-solving and contribute to academic work.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational Java skills, as evidenced by the 95% score in the Java Intern test.
Demonstrated ability to build full-stack applications using Java (Smarter Work Management System project).
Experience with multiple databases (MySQL, MongoDB) and web technologies (HTML, CSS, JavaScript).
Exposure to AI/ML concepts and practical application in projects (YouTube Sentiment Analysis, Research & Publications).
Good understanding of SDLC and Agile practices, which are valuable for project execution.
The candidate's core Java proficiency and project experience align well with the requirements for a Java Intern role.

Skill Analysis

Java

★★★★★

95%

Achieved a near-perfect score, indicating a strong grasp of fundamental Java concepts and problem-solving abilities at an intern level.

javaCore JavaOOPBasic SyntaxProblem Solving

Strengths

Demonstrated strong foundational knowledge in Java.
Excellent performance in core Java concepts and problem-solving.
High accuracy in technical implementation related to Java.

Limitations

The assessment primarily covered intern-level Java; depth in advanced Java features or frameworks (e.g., Spring Boot, Concurrency) was not explicitly evaluated.
Practical application in larger systems or design patterns was not assessed.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Python

★★★★★

23%

Very low score indicates a substantial lack of proficiency across various Python-related skills, including core language features, algorithms, and data analysis.

Streaming-DataalgorithmsUnit-TestingData Analysis with PythonPython 3.xData Structures

Strengths

Limited strengths identified due to low score; possibly some basic syntax understanding.

Limitations

Significant gaps in understanding and application of Python 3.x.
Weak performance in algorithms and data analysis with Python.
Lack of proficiency in unit testing and streaming data concepts.
Overall low technical accuracy in Python-related problem-solving.