Chandan Mrinal

Lead Python Engineer

https://www.opentalent.in/chandan-mrinal

Supaul, Bihar, IndiaMember since February 23, 2026

Key Strengths

Strong academic background in AI/ML, evidenced by BTech in AI and relevant internships.
Hands-on experience with core ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and end-to-end ML workflows.
Demonstrated ability to apply Python for computational modeling and data analysis in project settings.
Good foundational understanding of Python and ML concepts.
The candidate's current experience level (intern, still a student, experienceLevel: 0) is a significant mismatch for a 'Lead Python Engineer' role, which typically requires extensive professional experience (5+ years) in system design, architecture, and leadership. While the candidate shows potential in Python and ML, they lack the depth and breadth of experience for a lead position.

Skill Analysis

Python Programming & Data Analysis

★★★★★

58%

The candidate scored 58% on the Python Internship Test, indicating a moderate grasp of the evaluated skills. While basic understanding is present, there are clear areas requiring development to meet senior-level expectations.

Python 3.xUnit TestingData Analysis with PythonAlgorithmsStreaming Data

Strengths

Demonstrates foundational understanding of Python 3.x syntax and basic data analysis concepts.
Shows some familiarity with unit testing principles and algorithmic thinking, as applied in internship projects.

Limitations

Performance in advanced Python concepts, complex algorithms, and streaming data processing appears to be an area for significant improvement.

Cultural & Operational Fit

Cultural Fit Analysis

With a psychometric score of 78%, the candidate demonstrates a good aptitude for logical reasoning, a positive work ethic, and the ability to manage stress. These attributes indicate a strong potential for cultural integration and effective collaboration within a professional team setting.

Soft Skills & Operational Fit

The psychometric test score of 78% suggests good logical reasoning, a positive work attitude, and effective stress handling. The candidate also appears to be team-oriented, which are positive indicators for operational fit within a collaborative environment.

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 academic background in AI/ML, evidenced by BTech in AI and relevant internships.
Hands-on experience with core ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and end-to-end ML workflows.
Demonstrated ability to apply Python for computational modeling and data analysis in project settings.
Good foundational understanding of Python and ML concepts.
The candidate's current experience level (intern, still a student, experienceLevel: 0) is a significant mismatch for a 'Lead Python Engineer' role, which typically requires extensive professional experience (5+ years) in system design, architecture, and leadership. While the candidate shows potential in Python and ML, they lack the depth and breadth of experience for a lead position.

Skill Analysis

Python Programming & Data Analysis

★★★★★

58%

Python 3.xUnit TestingData Analysis with PythonAlgorithmsStreaming Data

Strengths

Demonstrates foundational understanding of Python 3.x syntax and basic data analysis concepts.
Shows some familiarity with unit testing principles and algorithmic thinking, as applied in internship projects.

Limitations

Performance in advanced Python concepts, complex algorithms, and streaming data processing appears to be an area for significant improvement.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Chandan Mrinal

Key Strengths

Skill Analysis

Python Programming & Data Analysis

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Python Programming & Data Analysis

Cultural & Operational Fit