naga sasank kumar palepu | AP22110010272

Python / SQL – CrateDB Intern

https://www.opentalent.in/naga-sasank-kumar-palepu-or-ap22110010272

India

Key Strengths

Strong foundational programming skills in Python and SQL, directly aligning with the target 'Python / SQL – CrateDB Intern' role.
Relevant internship experience in Data Analysis, including predictive modeling and data visualization, which is valuable for data-intensive roles.
Practical project experience in full-stack web development (Resume Analyzer) and machine learning (Customer Churn Prediction), demonstrating ability to build functional applications.
Good grasp of core computer science concepts, including Data Structures and Algorithms, as well as web technologies.
High technical assessment score (90%) in Python full-stack development, validating coding and problem-solving abilities.

Skill Analysis

Application Development - Full Stack (Python)

★★★★★

90%

The candidate achieved a high score of 90% in the 'Application Developer — Experience Full Stack (Python)' test, indicating strong technical competency in Python development.

PythonFull Stack DevelopmentWeb DevelopmentProblem SolvingCoding LogicTechnical AccuracyPractical Implementation

Strengths

Demonstrated strong proficiency in Python for application development.
Exhibited solid problem-solving skills and coding logic.
Showcased good practical implementation abilities in a full-stack context.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's psychometric test score of 54% suggests a moderate alignment with typical workplace cultural attributes such as logical reasoning, work attitude, stress handling, and team collaboration. This area warrants further exploration during the interview process to ensure a strong cultural fit.

Soft Skills & Operational Fit

The psychometric test indicates a moderate fit for work attitude, stress handling, and team collaboration, scoring 54%. While this suggests areas for development, the candidate's resume highlights experience in collaborative projects and internships. Further assessment during interviews would be beneficial to fully understand operational fit.

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