Key Strengths

Practical experience in machine learning model development (XGBoost, ANN) for predictive tasks like churn and attrition.
Demonstrated ability in data manipulation, integration, and query optimization using SQL (MS SQL, MySQL).
Proficiency in Python for data science, including libraries like Pandas, NumPy, scikit-learn, and web scraping tools.
Experience with feature engineering and handling class imbalance, crucial for robust model performance.
Exposure to the data science lifecycle, from data acquisition and preprocessing to model building and evaluation, as indicated by certifications and projects.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500 is a significant and critical concern for cultural fit. This score directly indicates potential severe deficiencies in logical reasoning, work attitude, stress handling, and team collaboration, which are fundamental for any professional environment. Without further clarification or re-evaluation of this test, the candidate's cultural fit is highly questionable.

Soft Skills & Operational Fit

The candidate's resume lists 'Analytical Thinking, Communication, Problem Solving, Time Management' as soft skills. However, the psychometric test score of 0 out of 500, which evaluates logical reasoning, work attitude, stress handling, and team collaboration, raises severe concerns regarding the candidate's operational fit and actual soft skill proficiency. This score is a critical red flag that requires immediate investigation.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Asit kumar behera

AI Engineer

https://www.opentalent.in/asit-kumar-behera

Bangalore, indiaMember since June 24, 2025

https://www.opentalent.in/asit-kumar-behera

Skills

PythonMysql

Experience

VOZIQ AI

Data Science Intern

July 1, 2024 – December 1, 2024

Hyderabad, India

Key Strengths

Practical experience in machine learning model development (XGBoost, ANN) for predictive tasks like churn and attrition.
Demonstrated ability in data manipulation, integration, and query optimization using SQL (MS SQL, MySQL).
Proficiency in Python for data science, including libraries like Pandas, NumPy, scikit-learn, and web scraping tools.
Experience with feature engineering and handling class imbalance, crucial for robust model performance.
Exposure to the data science lifecycle, from data acquisition and preprocessing to model building and evaluation, as indicated by certifications and projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit