Sachin Gangwar

Python Engineer

https://www.opentalent.in/sachin-gangwar

Bareilly, Uttar Pradesh, IndiaMember since March 9, 2026

Key Strengths

Strong foundational knowledge and practical skills in Data Science and Machine Learning, particularly in Deep Learning and Computer Vision.
Proficiency in Python and its ecosystem for ML/AI development (TensorFlow, Keras, Scikit-learn, OpenCV, NumPy, Pandas, Matplotlib).
Demonstrated ability to develop and deploy ML models, as evidenced by project work and internship experience.
Experience with various ML model types including CNNs and SVMs for different problem sets.
The candidate's profile is heavily aligned with Data Science/ML Engineering, which presents a partial match for a 'Python Engineer' role if it involves significant ML components, but a potential mismatch for general backend or software engineering.

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

The candidate achieved an excellent score of 94% in the Data Scientist — Artificial Intelligence test, indicating a strong grasp of relevant concepts and practical application skills in this domain.

Data ScienceMachine LearningArtificial IntelligencePythonScikit-learnDeep LearningConvolutional Neural Networks (CNN)Image ProcessingTensorFlowKerasOpenCV

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 35% is very low, raising substantial concerns about the candidate's potential fit regarding work attitude, stress handling, and team collaboration. These areas are fundamental for positive cultural integration and effective teamwork. Further assessment would be required to understand the root causes of these low scores.

Soft Skills & Operational Fit

The psychometric test score of 35% (176/500) indicates significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are critical for operational fit. The English test score of 48% suggests potential challenges in communication clarity and professional language usage.

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Assessing your cultural and operational fit

Key Strengths

Strong foundational knowledge and practical skills in Data Science and Machine Learning, particularly in Deep Learning and Computer Vision.
Proficiency in Python and its ecosystem for ML/AI development (TensorFlow, Keras, Scikit-learn, OpenCV, NumPy, Pandas, Matplotlib).
Demonstrated ability to develop and deploy ML models, as evidenced by project work and internship experience.
Experience with various ML model types including CNNs and SVMs for different problem sets.
The candidate's profile is heavily aligned with Data Science/ML Engineering, which presents a partial match for a 'Python Engineer' role if it involves significant ML components, but a potential mismatch for general backend or software engineering.

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

Data ScienceMachine LearningArtificial IntelligencePythonScikit-learnDeep LearningConvolutional Neural Networks (CNN)Image ProcessingTensorFlowKerasOpenCV

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Sachin Gangwar

Key Strengths

Skill Analysis

Data Scientist — Artificial Intelligence

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Data Scientist — Artificial Intelligence

Cultural & Operational Fit