Profile URL

https://talent.gravityer.com/poorvi-shrivastava

POORVI SHRIVASTAVA

Gwalior, india

Since September 29, 2025

Skills

MysqlTeam CollaborationPythonWeb DevelopersStartup DevelopersStartup FundingBrand DesignersData Visualization DesignersVideo Editors

Experience

RCCPL Pvt. Ltd.

Industrial Training

June 1, 2025 – July 1, 2025

Barauli, India

UltraTech Cement Ltd

Winter Intern

December 1, 2024 – January 1, 2025

Dalla Works, India

NIT Delhi

Summer Intern

June 1, 2024 – July 1, 2024

Delhi, India

Key Strengths

Strong proficiency in MERN stack development, evidenced by an 88% score on the MERN Intern test.
Demonstrated ability to apply IoT, Machine Learning, and Data Structures & Algorithms concepts in practical projects (FraudShield, PureCheck, SecureTrack).
Good academic performance with a CGPA of 8.82 in B.Tech IoT.
Proactive engagement in extracurriculars and leadership roles (Co-founder, Google Student Ambassador) indicates initiative and drive.
Good written communication skills, as reflected by an 83% score on the English test.
The candidate's primary strength lies in MERN stack development, which is not directly aligned with the 'Python Engineer' target role. While Python is used in projects, the low Python assessment score (31%) indicates a significant mismatch in core Python proficiency for the target role.

Skill Analysis

Python Development & Data Analysis

★★★★★

31%

The candidate scored 31%, indicating a foundational but insufficient grasp of Python development, data analysis, and algorithmic problem-solving as assessed. This suggests significant areas for improvement in core Python skills.

Data Analysis with PythonPython 3.xStreaming-DataUnit-TestingalgorithmsCore PythonProblem Solving

Strengths

Demonstrates foundational exposure to Python concepts and related domains like data analysis and streaming data.
Familiarity with the scope of unit testing in Python.

Limitations

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 63% indicates an average alignment with desired cultural attributes, including logical reasoning, work attitude, stress handling, and team collaboration. While not a strong positive, it does not present a significant red flag based solely on this data.

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 proficiency in MERN stack development, evidenced by an 88% score on the MERN Intern test.
Demonstrated ability to apply IoT, Machine Learning, and Data Structures & Algorithms concepts in practical projects (FraudShield, PureCheck, SecureTrack).
Good academic performance with a CGPA of 8.82 in B.Tech IoT.
Proactive engagement in extracurriculars and leadership roles (Co-founder, Google Student Ambassador) indicates initiative and drive.
Good written communication skills, as reflected by an 83% score on the English test.
The candidate's primary strength lies in MERN stack development, which is not directly aligned with the 'Python Engineer' target role. While Python is used in projects, the low Python assessment score (31%) indicates a significant mismatch in core Python proficiency for the target role.

Skill Analysis

Python Development & Data Analysis

★★★★★

31%

Data Analysis with PythonPython 3.xStreaming-DataUnit-TestingalgorithmsCore PythonProblem Solving

Strengths

Demonstrates foundational exposure to Python concepts and related domains like data analysis and streaming data.
Familiarity with the scope of unit testing in Python.

Limitations

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

MERN Stack Development

★★★★★

88%

The candidate scored 88%, demonstrating strong proficiency and practical understanding of MERN stack components, indicating a solid foundation in full-stack web development.

SassNoSQLnode.jsjsreactjavascriptMongoDBcssWeb DevelopmentFull-stack Development

Strengths

Strong proficiency in MERN stack technologies, including JavaScript, Node.js, React, and MongoDB.
Demonstrates solid understanding of both front-end (React, Sass, CSS) and back-end (Node.js, MongoDB) development principles.
High score indicates readiness for MERN-focused development tasks.

Limitations

No significant weaknesses identified based on this test performance.