Bhargaba sundar dakua

Web Bocket Software Pvt. Ltd.

Bhubaneshwar, Odisha, India

Since February 25, 2026

Skills

PythonFront-end

Experience

Web Bocket Software Pvt. Ltd.

Data Science Intern

January 1, 2026 – Present

Bhubaneswar, India

Key Strengths

Exposure to Python for Machine Learning and Data Science tasks through academic projects and internships.
Practical experience with data preprocessing, visualization, and applying ML algorithms (classification, regression) in internship settings.
Familiarity with basic ML concepts (Supervised/Unsupervised Learning, CNN) and tools like OpenCV, NumPy, Pandas.
Basic understanding of Git/GitHub and AWS fundamentals.
The target role requires Python and SQL/CrateDB. While Python experience is present on the resume, the test scores indicate a significant gap in practical proficiency. SQL/CrateDB experience is not explicitly demonstrated.

Skill Analysis

Python Programming & Data Analysis

★★★★★

31%

The candidate achieved a low score, indicating a foundational but incomplete understanding of Python programming, algorithms, and data analysis techniques. Performance across key sub-skills was consistently weak.

Unit-TestingPython 3.xAlgorithmsData Analysis with PythonStreaming-Data

Strengths

Demonstrated a foundational, albeit limited, understanding of basic Python concepts.

Limitations

Significant gaps in Python 3.x fundamentals and advanced features.
Limited proficiency in algorithms and problem-solving within a Python context.
Weakness in applying Python for data analysis tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 53% suggests a moderate alignment with desired work attitudes and team collaboration dynamics. Further assessment through behavioral interviews would be crucial to confirm cultural fit.

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

Exposure to Python for Machine Learning and Data Science tasks through academic projects and internships.
Practical experience with data preprocessing, visualization, and applying ML algorithms (classification, regression) in internship settings.
Familiarity with basic ML concepts (Supervised/Unsupervised Learning, CNN) and tools like OpenCV, NumPy, Pandas.
Basic understanding of Git/GitHub and AWS fundamentals.
The target role requires Python and SQL/CrateDB. While Python experience is present on the resume, the test scores indicate a significant gap in practical proficiency. SQL/CrateDB experience is not explicitly demonstrated.

Skill Analysis

Python Programming & Data Analysis

★★★★★

31%

Unit-TestingPython 3.xAlgorithmsData Analysis with PythonStreaming-Data

Strengths

Demonstrated a foundational, albeit limited, understanding of basic Python concepts.

Limitations

Significant gaps in Python 3.x fundamentals and advanced features.
Limited proficiency in algorithms and problem-solving within a Python context.
Weakness in applying Python for data analysis tasks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

General Technical Problem Solving

★★★★★

The candidate scored 0, indicating a complete lack of demonstrated proficiency across all evaluated technical problem-solving and coding logic skills.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Strengths

No specific strengths identified due to a score of 0.

Limitations

Complete lack of demonstrated problem-solving abilities.
Absence of coding logic and technical accuracy.
Inability to apply practical implementation skills to technical challenges.