Nikita Kumari Hembrom

Bhubaneswar, india

Since July 27, 2025

Skills

Python

Key Strengths

Strong academic background with a Master of Science in Data Science and Bachelor of Science in Computer Application.
Demonstrated foundational programming skills in Python, R, C, C++, and SQL.
Practical experience in machine learning algorithms (Logistic Regression, KNN, Naive Bayes, Random Forest) through a credit card fraud detection project.
Proficiency in data visualization and relevant tools (Pandas, Scikit-Learn, Jupyter Notebook, Seaborn, Matplotlib).
Project experience includes data preprocessing, model evaluation (Precision, Recall, F1-Score), and achieving high accuracy (98%) in a relevant domain.
Participation in a 'Data Science using Python' workshop indicates a proactive approach to learning and hands-on experience with tools like Google Colab.
The candidate's skills in Python and SQL align directly with the 'Python / SQL – CrateDB Intern' target role.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the psychometric test score of 29% (147/500), which evaluates work attitude, stress handling, and team collaboration, the candidate demonstrates a low cultural fit according to these metrics. This suggests potential challenges in adapting to a collaborative and demanding work environment.

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 academic background with a Master of Science in Data Science and Bachelor of Science in Computer Application.
Demonstrated foundational programming skills in Python, R, C, C++, and SQL.
Practical experience in machine learning algorithms (Logistic Regression, KNN, Naive Bayes, Random Forest) through a credit card fraud detection project.
Proficiency in data visualization and relevant tools (Pandas, Scikit-Learn, Jupyter Notebook, Seaborn, Matplotlib).
Project experience includes data preprocessing, model evaluation (Precision, Recall, F1-Score), and achieving high accuracy (98%) in a relevant domain.
Participation in a 'Data Science using Python' workshop indicates a proactive approach to learning and hands-on experience with tools like Google Colab.
The candidate's skills in Python and SQL align directly with the 'Python / SQL – CrateDB Intern' target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit