Shivam Kumar Srivastava

Python Engineer

https://talent.gravityer.com/shivam-kumar-srivastava

Babu Banarasi Das Engineering College

Key Strengths

Demonstrated interest and foundational exposure to Python through academic projects, including backend development with Docker.
Familiarity with modern web development frameworks (React, Node.js, TypeScript) and database technologies (Supabase, SQL Server).
Experience with version control (Git, GitHub) and deployment platforms (Vercel, Render).
The candidate's project portfolio aligns with the responsibilities of a Python Engineer, particularly in web application development and data integration.

Skill Analysis

Python Development & Data Analysis

★★★★★

58%

The score of 58% indicates a basic to intermediate grasp of Python and related concepts, but highlights considerable areas requiring development for proficiency, especially in practical implementation, advanced topics, and specific sub-skills like unit testing and streaming data.

Unit-TestingData Analysis with PythonPython 3.xStreaming-Dataalgorithms

Strengths

Demonstrated foundational understanding of core Python concepts.
Some exposure to data analysis principles within a Python context.
Ability to attempt problems related to Python development.

Limitations

Significant gaps in advanced Python features and best practices.
Limited proficiency in algorithmic problem-solving and efficiency.
Insufficient understanding of unit testing methodologies and streaming data concepts.
Overall performance indicates a need for deeper practical application and theoretical knowledge.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 52% is below average, raising concerns regarding the candidate's adaptability, stress management, and collaborative tendencies, which are crucial for a positive cultural fit within a team environment.

Soft Skills & Operational Fit

The candidate's psychometric test score (52%) suggests potential challenges in logical reasoning, work attitude, stress handling, and team collaboration, which are critical for operational fit. Communication skills are moderate (68%), indicating room for improvement in professional clarity and expression.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated interest and foundational exposure to Python through academic projects, including backend development with Docker.
Familiarity with modern web development frameworks (React, Node.js, TypeScript) and database technologies (Supabase, SQL Server).
Experience with version control (Git, GitHub) and deployment platforms (Vercel, Render).
The candidate's project portfolio aligns with the responsibilities of a Python Engineer, particularly in web application development and data integration.

Skill Analysis

Python Development & Data Analysis

★★★★★

58%

Unit-TestingData Analysis with PythonPython 3.xStreaming-Dataalgorithms

Strengths

Demonstrated foundational understanding of core Python concepts.
Some exposure to data analysis principles within a Python context.
Ability to attempt problems related to Python development.

Limitations

Significant gaps in advanced Python features and best practices.
Limited proficiency in algorithmic problem-solving and efficiency.
Insufficient understanding of unit testing methodologies and streaming data concepts.
Overall performance indicates a need for deeper practical application and theoretical knowledge.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Shivam Kumar Srivastava

Key Strengths

Skill Analysis

Python Development & Data Analysis

Cultural & Operational Fit

Skills

Education

Key Strengths

Skill Analysis

Python Development & Data Analysis

Cultural & Operational Fit