Vinay singh tomar

Gwalior, Madhya Pradesh, India

Since February 17, 2026

Skills

MERN StackNode.jsReact.jsAPI IntegrationJavaMongoDBData PreprocessingLead GenerationMachine LearningSQLJavaScriptHTML5

Key Strengths

Strong foundational MERN stack skills, demonstrated through projects (Car Service System) and a good score on the MERN intern test.
Proven ability to build full-stack applications, including RESTful API design, JWT-based authentication, and responsive UI with React and Bootstrap.
Excellent analytical and problem-solving abilities, evidenced by a high score in the Data Science test and successful implementation of a Machine Learning project.
Proficiency in multiple programming languages (JavaScript, Python, Java, SQL) and development tools (Git, GitHub, MongoDB).
Proactive learning and engagement in extracurricular activities (NPTEL, Idea Strome finalist).
However, the candidate's experience level (0) and student status are a significant mismatch for a 'Lead MERN Engineer' role.

Skill Analysis

MERN Stack Development

★★★★★

79%

Achieved a strong 79% on the MERN Intern test, indicating a good grasp of fundamental MERN technologies and practical application skills for an entry-level role.

node.jscssreactMongoDBSassjsNoSQLjavascriptExpress.js

Strengths

Solid foundational understanding of core MERN stack components (Node.js, React, MongoDB, JavaScript).

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 59% suggests that further evaluation is needed to ascertain alignment with organizational culture, particularly concerning work attitude, stress management, and team dynamics, which are crucial for a lead position.

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

Key Strengths

Strong foundational MERN stack skills, demonstrated through projects (Car Service System) and a good score on the MERN intern test.
Proven ability to build full-stack applications, including RESTful API design, JWT-based authentication, and responsive UI with React and Bootstrap.
Excellent analytical and problem-solving abilities, evidenced by a high score in the Data Science test and successful implementation of a Machine Learning project.
Proficiency in multiple programming languages (JavaScript, Python, Java, SQL) and development tools (Git, GitHub, MongoDB).
Proactive learning and engagement in extracurricular activities (NPTEL, Idea Strome finalist).
However, the candidate's experience level (0) and student status are a significant mismatch for a 'Lead MERN Engineer' role.

Skill Analysis

MERN Stack Development

★★★★★

79%

Achieved a strong 79% on the MERN Intern test, indicating a good grasp of fundamental MERN technologies and practical application skills for an entry-level role.

node.jscssreactMongoDBSassjsNoSQLjavascriptExpress.js

Strengths

Solid foundational understanding of core MERN stack components (Node.js, React, MongoDB, JavaScript).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Science & Artificial Intelligence

★★★★★

94%

Scored an outstanding 94%, showcasing deep knowledge and accuracy in data science and artificial intelligence principles, indicating strong technical aptitude.

data scientistMachine LearningSupport Vector Machines (SVM)Data PreprocessingFeature EngineeringHyperparameter TuningPython

Strengths

Exceptional performance in Data Science and AI concepts, demonstrating strong analytical and problem-solving skills.
Deep understanding of machine learning algorithms (SVM) and methodologies (data preprocessing, feature engineering, hyperparameter tuning).
Ability to apply theoretical knowledge to practical projects for accurate predictions.

Limitations

While demonstrating strong analytical capabilities, this skill set is not directly aligned with the 'Lead MERN Engineer' target role's core requirements.
The assessment report does not detail specific areas within data science where performance could be further enhanced.