Snehanshu Saha

Python / SQL – CrateDB Intern

https://www.opentalent.in/snehanshu-saha

Bhubaneshwar, indiaMember since September 11, 2025

Key Strengths

Strong foundational skills in Python and SQL, directly aligning with the target 'Python / SQL – CrateDB Intern' role.
Demonstrated experience in Machine Learning and Data Science through multiple projects (e.g., House Price Prediction, Resume Parser, Emotion Analysis) involving data preprocessing, model building, and deployment considerations.
Familiarity with key ML/Data concepts including Deep Learning, NLP, and Computer Vision, supported by relevant certifications.
Exposure to tools like Git and Docker, which are essential for modern software development and MLOps practices.
Good communication skills as evidenced by the English test score.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 257 out of 500 (51%) indicates a moderate cultural fit. This suggests the candidate may have average alignment with desired traits such as logical reasoning, work attitude, stress handling, and team collaboration. While not a disqualifier, it highlights potential areas for growth and warrants deeper exploration during the interview process to assess their adaptability and alignment with team dynamics.

Soft Skills & Operational Fit

The candidate's profile highlights being analytical, self-driven, and having a proven ability to work in teams, solve complex problems, and take ownership. However, the psychometric test score (51%) suggests moderate performance in areas such as logical reasoning, work attitude, stress handling, and team collaboration. This indicates potential areas for development in operational settings, requiring further validation during interviews.

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Experience

Infosys Springboard

AI/ML Intern

August 1, 2025 – October 1, 2025

Tata Power

IT Intern (AI/ML)

May 1, 2025 – June 1, 2025

Jamshedpur, India

Key Strengths

Strong foundational skills in Python and SQL, directly aligning with the target 'Python / SQL – CrateDB Intern' role.
Demonstrated experience in Machine Learning and Data Science through multiple projects (e.g., House Price Prediction, Resume Parser, Emotion Analysis) involving data preprocessing, model building, and deployment considerations.
Familiarity with key ML/Data concepts including Deep Learning, NLP, and Computer Vision, supported by relevant certifications.
Exposure to tools like Git and Docker, which are essential for modern software development and MLOps practices.
Good communication skills as evidenced by the English test score.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit