Snehanshu Saha

Bhubaneshwar, india

Since September 11, 2025

Skills

Front-endPower BIAPI IntegrationGit-GitHubSoftware DevelopersPythonReact.jsReact NativePostmanFull-stackAI EngineersJavaNode.jsAWS Cloud ServiceDocker / Kubernetes

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

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

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 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