Prarthana More

Python / SQL – CrateDB Intern

https://www.opentalent.in/prarthana-more

Gwalior , indiaMember since October 8, 2025

Key Strengths

Theoretical foundation in Python for data science, machine learning, and data visualization.
Exposure to SQL (MySQL) through project work, which is relevant to the CrateDB aspect of the role.
Practical experience with data preprocessing, EDA, and various ML algorithms through internship training and mini-projects.
Completed projects demonstrate an ability to work on end-to-end data science tasks, including web integration (Flask) and database interaction (SQLite/MySQL).
The candidate's profile aligns with an intern role, showing a strong interest in the target domain.

Skill Analysis

Python Development & Data Analysis

★★★★★

31%

The candidate scored 31% on the 'Junior Python Developer' test, indicating significant gaps in practical Python coding, algorithmic understanding, and unit testing, despite theoretical exposure listed in the resume.

Python 3.xData Analysis with PythonStreaming-DataUnit-TestingAlgorithmsPandasNumPyMatplotlibSeabornscikit-learnSQLMachine LearningData PreprocessingModel Evaluation

Strengths

Demonstrated theoretical exposure to Python for data science, including libraries like Pandas, NumPy, Matplotlib, and Seaborn.
Familiarity with various machine learning algorithms (Linear Regression, Logistic Regression, Decision Trees, Random Forests, KNN, SVM) and model evaluation techniques.
Experience in data preprocessing (cleaning, handling missing values, feature scaling, encoding) and exploratory data analysis concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 56% indicates an average alignment with typical workplace attitudes, stress handling, and team collaboration dynamics. Further assessment would be beneficial to fully gauge cultural fit.

Soft Skills & Operational Fit

The psychometric test score of 56% suggests a moderate level of logical reasoning, work attitude, stress handling, and team collaboration. While not a strong indicator, it suggests average operational fit with potential for development.

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Assessing your cultural and operational fit

Key Strengths

Theoretical foundation in Python for data science, machine learning, and data visualization.
Exposure to SQL (MySQL) through project work, which is relevant to the CrateDB aspect of the role.
Practical experience with data preprocessing, EDA, and various ML algorithms through internship training and mini-projects.
Completed projects demonstrate an ability to work on end-to-end data science tasks, including web integration (Flask) and database interaction (SQLite/MySQL).
The candidate's profile aligns with an intern role, showing a strong interest in the target domain.

Skill Analysis

Python Development & Data Analysis

★★★★★

31%

Python 3.xData Analysis with PythonStreaming-DataUnit-TestingAlgorithmsPandasNumPyMatplotlibSeabornscikit-learnSQLMachine LearningData PreprocessingModel Evaluation

Strengths

Demonstrated theoretical exposure to Python for data science, including libraries like Pandas, NumPy, Matplotlib, and Seaborn.
Familiarity with various machine learning algorithms (Linear Regression, Logistic Regression, Decision Trees, Random Forests, KNN, SVM) and model evaluation techniques.
Experience in data preprocessing (cleaning, handling missing values, feature scaling, encoding) and exploratory data analysis concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Prarthana More

Key Strengths

Skill Analysis

Python Development & Data Analysis

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Python Development & Data Analysis

Cultural & Operational Fit