Profile URL

https://talent.gravityer.com/subham-parida

Subham Parida

Balasore, Odisha, India

Since February 24, 2026

Skills

HTML

Key Strengths

Demonstrated practical experience in real-time object detection using YOLO-V4 and related deep learning concepts, as evidenced by project work.
Completed a vocational internship at DRDO, indicating exposure to technical project environments.
Achieved a strong score in SAP Digital Transformation, showcasing aptitude in a specific technical domain (though not directly aligned with the target role).
The target role is 'Python / SQL – CrateDB Intern'. While the candidate's resume lists Python skills and relevant projects, the very low Python assessment score (12%) indicates a significant gap in foundational programming proficiency, which is critical for the role. There is no direct evidence of SQL or CrateDB expertise.

Skill Analysis

SAP Digital Transformation

★★★★★

80%

The candidate scored 80% on the SAP Digital Transformation Manager test, indicating a solid grasp of the evaluated concepts.

IT Business Partner (ITBP)

Strengths

Demonstrated a strong understanding of IT Business Partner concepts.
Achieved a high score, indicating proficiency in SAP Digital Transformation principles.

Limitations

Specific areas of weakness within SAP Digital Transformation are not detailed in the report.
The relevance of this skill to the target Python/SQL role is limited.

Python Programming

★★★★★

12%

The candidate scored only 12% on the Python Internship Test, indicating a fundamental lack of proficiency in Python programming, algorithms, data analysis, and unit testing, which are critical for the target role.

algorithmsStreaming-DataData Analysis with PythonUnit-TestingPython 3.x

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 54% suggests an average alignment with desired work attitude, stress handling, and team collaboration traits. While this indicates a baseline, a deeper assessment would be beneficial to fully evaluate cultural fit within a specific team environment.

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

Demonstrated practical experience in real-time object detection using YOLO-V4 and related deep learning concepts, as evidenced by project work.
Completed a vocational internship at DRDO, indicating exposure to technical project environments.
Achieved a strong score in SAP Digital Transformation, showcasing aptitude in a specific technical domain (though not directly aligned with the target role).
The target role is 'Python / SQL – CrateDB Intern'. While the candidate's resume lists Python skills and relevant projects, the very low Python assessment score (12%) indicates a significant gap in foundational programming proficiency, which is critical for the role. There is no direct evidence of SQL or CrateDB expertise.

Skill Analysis

SAP Digital Transformation

★★★★★

80%

The candidate scored 80% on the SAP Digital Transformation Manager test, indicating a solid grasp of the evaluated concepts.

IT Business Partner (ITBP)

Strengths

Demonstrated a strong understanding of IT Business Partner concepts.
Achieved a high score, indicating proficiency in SAP Digital Transformation principles.

Limitations

Specific areas of weakness within SAP Digital Transformation are not detailed in the report.
The relevance of this skill to the target Python/SQL role is limited.

Python Programming

★★★★★

12%

algorithmsStreaming-DataData Analysis with PythonUnit-TestingPython 3.x

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Engineering

★★★★★

The candidate scored 0% on the Data Engineer test, indicating a complete absence of knowledge or practical skills in data engineering and data platforms.

data engineering

Strengths

Insufficient data to identify any strengths given the zero score.

Limitations

Complete lack of understanding in data engineering principles and practices.
Unable to demonstrate any proficiency in data platforms concepts.