Papasani Nithinreddy

Python / SQL – CrateDB Intern

https://www.opentalent.in/papasani-nithinreddy

Darsi, Andhra Pradesh, IndiaMember since February 16, 2026

Key Strengths

Strong foundational skills in Python for data science, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow, as evidenced by project and experience descriptions.
Practical experience in machine learning model development, data preprocessing, exploratory data analysis (EDA), and feature engineering through internships and projects.
Proficiency in SQL (as listed in resume skills) and hands-on experience with various data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
Project experience demonstrates the ability to apply theoretical knowledge to real-world datasets and build deployable applications using frameworks like Streamlit and Flask.
The candidate's experience level (internships) aligns with an intern role, and their Python and SQL skills are directly relevant to the target position.

Skill Analysis

Python Development

★★★★★

60%

A score of 60% suggests a fair grasp of fundamental Python and regular expressions but indicates areas requiring improvement for more complex problem-solving or specific domain knowledge tested, such as data anonymization.

Python 3.xRegular ExpressionsProblem SolvingCoding Logic

Strengths

Demonstrated foundational understanding of Python 3.x syntax and core programming concepts.
Basic proficiency in using Regular Expressions for pattern matching.

Limitations

Performance indicates gaps in advanced Python features or problem-solving efficiency.
Specific areas related to privacy protection or data anonymizers, implied by the test title, were likely challenging given the moderate score.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 46% is below average, indicating potential areas of concern regarding logical reasoning, work attitude, stress handling, and team collaboration. This suggests a moderate to low cultural fit based on these specific metrics. Further investigation during interviews would be crucial to validate these findings and understand the candidate's approach to teamwork and problem-solving under pressure.

Soft Skills & Operational Fit

The English test score (66%) suggests adequate but not strong written communication skills, indicating room for improvement in professional clarity. The psychometric test score (46%) is a significant concern, highlighting potential challenges in logical reasoning, work attitude, stress handling, and team collaboration, which are critical for effective operational fit and teamwork.

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 for data science, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow, as evidenced by project and experience descriptions.
Practical experience in machine learning model development, data preprocessing, exploratory data analysis (EDA), and feature engineering through internships and projects.
Proficiency in SQL (as listed in resume skills) and hands-on experience with various data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
Project experience demonstrates the ability to apply theoretical knowledge to real-world datasets and build deployable applications using frameworks like Streamlit and Flask.
The candidate's experience level (internships) aligns with an intern role, and their Python and SQL skills are directly relevant to the target position.

Skill Analysis

Python Development

★★★★★

60%

Python 3.xRegular ExpressionsProblem SolvingCoding Logic

Strengths

Demonstrated foundational understanding of Python 3.x syntax and core programming concepts.
Basic proficiency in using Regular Expressions for pattern matching.

Limitations

Performance indicates gaps in advanced Python features or problem-solving efficiency.
Specific areas related to privacy protection or data anonymizers, implied by the test title, were likely challenging given the moderate score.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Papasani Nithinreddy

Key Strengths

Skill Analysis

Python Development

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Python Development

Cultural & Operational Fit