SUYASH SAHU

Python / SQL – CrateDB Intern

https://www.opentalent.in/suyash-sahu

Raipur, Chhattisgarh, IndiaMember since February 1, 2026

Key Strengths

Exposure to Machine Learning and Deep Learning concepts (CNNs, Transfer Learning) through vocational training and projects.
Practical experience with TensorFlow/Keras for plant disease classification.
Demonstrated ability to work on small-scale projects involving AI voice agents and IoT/Computer Vision prototypes.
The extremely low Python assessment score (19%) indicates a significant mismatch with the 'Python' aspect of the target role.
No direct evidence of SQL or CrateDB skills, which are critical for the target role.

Skill Analysis

MERN Stack Development

★★★★★

63%

Achieved a passing score, suggesting basic familiarity with the MERN stack. However, this skill set is not the primary focus of the target 'Python / SQL' role.

cssSassjavascriptMongoDBNoSQLjsnode.jsreact

Strengths

Demonstrated foundational understanding of MERN stack components, particularly front-end technologies (JavaScript, React, CSS) and NoSQL database concepts (MongoDB).

Limitations

Indicates potential gaps in Node.js backend development, full-stack integration, or advanced concepts within the MERN ecosystem.

Python Development & Data Analysis

★★★★★

19%

The very low score indicates a significant deficiency in foundational Python skills, making the candidate unsuitable for roles requiring Python expertise without substantial upskilling.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the psychometric test score (43.6%), there are potential concerns regarding cultural fit aspects such as work attitude, stress handling, and team collaboration. Further investigation would be needed to fully assess this.

Soft Skills & Operational Fit

Average communication skills in English (61%). The psychometric assessment score (43.6%) suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for 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

Exposure to Machine Learning and Deep Learning concepts (CNNs, Transfer Learning) through vocational training and projects.
Practical experience with TensorFlow/Keras for plant disease classification.
Demonstrated ability to work on small-scale projects involving AI voice agents and IoT/Computer Vision prototypes.
The extremely low Python assessment score (19%) indicates a significant mismatch with the 'Python' aspect of the target role.
No direct evidence of SQL or CrateDB skills, which are critical for the target role.

Skill Analysis

MERN Stack Development

★★★★★

63%

Achieved a passing score, suggesting basic familiarity with the MERN stack. However, this skill set is not the primary focus of the target 'Python / SQL' role.

cssSassjavascriptMongoDBNoSQLjsnode.jsreact

Strengths

Demonstrated foundational understanding of MERN stack components, particularly front-end technologies (JavaScript, React, CSS) and NoSQL database concepts (MongoDB).

Limitations

Indicates potential gaps in Node.js backend development, full-stack integration, or advanced concepts within the MERN ecosystem.

Python Development & Data Analysis

★★★★★

19%

The very low score indicates a significant deficiency in foundational Python skills, making the candidate unsuitable for roles requiring Python expertise without substantial upskilling.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

SUYASH SAHU

Key Strengths

Skill Analysis

MERN Stack Development

Python Development & Data Analysis

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

MERN Stack Development

Python Development & Data Analysis

Cultural & Operational Fit