MANAS SURANJAN

Python / SQL – CrateDB Intern

https://www.opentalent.in/manas-suranjan

Bhubaneswar , indiaMember since July 27, 2025

Key Strengths

Demonstrated foundational knowledge in Python for data science, including libraries like Pandas, Scikit-Learn, Matplotlib, and Seaborn.
Practical experience with machine learning algorithms (Logistic Regression, KNN, Naive Bayesian, Random Forest) through a credit card fraud detection project.
Understanding of data preprocessing, model evaluation metrics (precision, recall, F1-score, AUC-ROC), and handling imbalanced datasets.
Exposure to data visualization and basic database management concepts.
The candidate's project experience aligns with the Python aspect of the target intern role, showing initiative in applying ML techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 40% (201/500) indicates a low cultural fit based on the evaluated criteria of logical reasoning, work attitude, stress handling, and team collaboration. This suggests significant areas for development in these non-technical aspects crucial for team integration and workplace effectiveness.

Soft Skills & Operational Fit

The psychometric test score of 40% suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration. While the resume lists 'Adaptability', 'Quick learner', 'Problem-solving', 'Determined', 'Detail-oriented', 'Sincere', and 'Team Collaboration' as interpersonal skills, these are not validated by the psychometric assessment results, which indicate a lower 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 foundational knowledge in Python for data science, including libraries like Pandas, Scikit-Learn, Matplotlib, and Seaborn.
Practical experience with machine learning algorithms (Logistic Regression, KNN, Naive Bayesian, Random Forest) through a credit card fraud detection project.
Understanding of data preprocessing, model evaluation metrics (precision, recall, F1-score, AUC-ROC), and handling imbalanced datasets.
Exposure to data visualization and basic database management concepts.
The candidate's project experience aligns with the Python aspect of the target intern role, showing initiative in applying ML techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit