Aman Shrivastava

AI Engineer

https://www.opentalent.in/aman-shrivastava

Gwalior, indiaMember since September 29, 2025

Key Strengths

Strong academic foundation in Artificial Intelligence and Machine Learning, evidenced by B.Tech in AI/ML.
Practical experience with core machine learning and deep learning concepts through multiple projects (e.g., Iris classification, Heart Disease Detection, Image Classification with ResNet).
Familiarity with key AI/ML libraries and frameworks including Python (Pandas, NumPy, Scikit-learn), PyTorch, and TensorFlow.
Demonstrated ability in data preprocessing, feature engineering, model training, transfer learning, and hyperparameter optimization.
Strong problem-solving aptitude, as indicated by solving 300+ DSA questions and competitive programming achievements.

Cultural & Operational Fit

Cultural Fit Analysis

With a psychometric test score of 61%, the candidate shows a moderate cultural fit. The evaluation focused on logical reasoning, work attitude, stress handling, and team collaboration. This score suggests that while there are foundational elements of fit, there may be specific aspects within these areas that require development or further exploration to ensure alignment with organizational culture.

Soft Skills & Operational Fit

The candidate's psychometric test score of 61% suggests a moderate operational fit. While the resume lists analytical thinking and problem-solving, the test results indicate potential areas for development in work attitude, stress handling, or team collaboration. Further assessment is needed to pinpoint specific areas for improvement.

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 foundation in Artificial Intelligence and Machine Learning, evidenced by B.Tech in AI/ML.
Practical experience with core machine learning and deep learning concepts through multiple projects (e.g., Iris classification, Heart Disease Detection, Image Classification with ResNet).
Familiarity with key AI/ML libraries and frameworks including Python (Pandas, NumPy, Scikit-learn), PyTorch, and TensorFlow.
Demonstrated ability in data preprocessing, feature engineering, model training, transfer learning, and hyperparameter optimization.
Strong problem-solving aptitude, as indicated by solving 300+ DSA questions and competitive programming achievements.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Aman Shrivastava

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit