Profile URL

https://talent.gravityer.com/smita-priyadarsini-meher

Smita Priyadarsini Meher

Bhubaneswar , india

Since November 4, 2025

Skills

Front-endWeb DevelopersGit-GitHubSoftware DevelopersReact.jsJavaScriptNode.jsMysqlBackendNosqlPythonWeb DesignersFull-stackReact Native

Key Strengths

Strong aptitude in Python for AI/Data Science, demonstrated proficiency in SQL/MySQL through projects.
Good problem-solving skills and experience with Flask/Django.
Strong performance in a general frontend test, indicating broad technical capability.
The candidate's Python and SQL skills, along with AI/Data Science aptitude, align well with the 'Python / SQL – CrateDB Intern' role, particularly given their exposure to both SQL and NoSQL concepts which are relevant to distributed databases.

Skill Analysis

Full Stack Development (Frontend Focus)

★★★★★

95%

Excellent performance demonstrating strong proficiency in frontend development, API interaction, and Redis.

RedisAPIQA DashboardFrontend Development

Strengths

Strong understanding of frontend development principles.
Proficient in API integration.
Good grasp of Redis concepts.
Capable of developing QA dashboards.

Limitations

No specific weaknesses identified from this high score.

Data Science & Artificial Intelligence

★★★★★

94%

Excellent performance indicating strong aptitude and knowledge in data science and artificial intelligence.

data scientistAIMachine Learning

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

Based on the psychometric test score of 63%, the candidate demonstrates an average alignment with typical workplace cultural expectations regarding work attitude and collaboration. Further assessment would be beneficial to fully 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

Key Strengths

Strong aptitude in Python for AI/Data Science, demonstrated proficiency in SQL/MySQL through projects.
Good problem-solving skills and experience with Flask/Django.
Strong performance in a general frontend test, indicating broad technical capability.
The candidate's Python and SQL skills, along with AI/Data Science aptitude, align well with the 'Python / SQL – CrateDB Intern' role, particularly given their exposure to both SQL and NoSQL concepts which are relevant to distributed databases.

Skill Analysis

Full Stack Development (Frontend Focus)

★★★★★

95%

Excellent performance demonstrating strong proficiency in frontend development, API interaction, and Redis.

RedisAPIQA DashboardFrontend Development

Strengths

Strong understanding of frontend development principles.
Proficient in API integration.
Good grasp of Redis concepts.
Capable of developing QA dashboards.

Limitations

No specific weaknesses identified from this high score.

Data Science & Artificial Intelligence

★★★★★

94%

Excellent performance indicating strong aptitude and knowledge in data science and artificial intelligence.

data scientistAIMachine Learning

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

MERN Stack (Junior/Mid Level)

★★★★★

11%

Very poor performance, indicating a severe lack of proficiency in core MERN stack technologies at a junior/mid level.

reactTypescriptReact hooksREST APIjsnode.jsjavascriptImmerredux

Strengths

Insufficient data to identify specific strengths given the extremely low score.

Limitations

Significant gaps in understanding of Node.js, React, JavaScript, and related ecosystem (Redux, Immer, TypeScript, React Hooks, REST API).
Fundamental concepts appear to be missing or poorly understood.

MERN Stack (Intern Level)

★★★★★

60%

Moderate performance, indicating a foundational but incomplete understanding of MERN stack concepts for an intern role.

javascriptreactcssnode.jsMongoDBNoSQLSassjs

Strengths

Basic understanding of MERN stack components.
Some familiarity with JavaScript, React, CSS, and Node.js.

Limitations

Significant areas for improvement in MERN stack technologies, particularly in Node.js and MongoDB.
Performance suggests an incomplete grasp of intern-level requirements.

MERN Stack (Lead Level)

★★★★★

15%

Extremely poor performance, demonstrating a complete lack of readiness for a Lead MERN Developer position.

EnzymeClass Componentsnodejsreactjavascriptnode.jsMongoReact Router

Strengths

Insufficient data to identify specific strengths given the extremely low score.

Limitations

Profound lack of knowledge and experience required for a Lead MERN Developer role.
Significant deficiencies across all evaluated skills including React (Class Components, React Router, Enzyme), Node.js, and MongoDB.