ARJUN KUMAR VERMA

AI Engineer

https://talent.gravityer.com/arjun-kumar-verma

Key Strengths

Strong theoretical foundation in Artificial Intelligence, Machine Learning, and Data Science.
Exposure to various AI domains including NLP, Computer Vision, and Deep Learning.
Familiarity with a wide range of AI frameworks and tools (TensorFlow, PyTorch, LLMs, LangChain, Streamlit, Vector Databases).
Practical project experience in building AI applications (chatbot, prediction system, face recognition).
Demonstrated commitment to continuous learning through certifications, self-study (LeetCode, HackerRank), and research paper publications.
Good academic background in Computer Science Engineering.

Skill Analysis

Artificial Intelligence & Data Science Fundamentals

★★★★★

88%

Achieved a high score, demonstrating a solid theoretical understanding of Artificial Intelligence and Data Science fundamentals.

Machine Learning ConceptsData Science PrinciplesAI TheoryModel EvaluationSupervised Learning

Strengths

Strong grasp of core AI and Data Science concepts.
Proficiency in theoretical aspects of machine learning.
Ability to understand and apply fundamental AI principles.

Limitations

Specific practical implementation details were not fully assessed.
Potential gaps in advanced, specialized AI topics (e.g., specific deep learning architectures, MLOps).

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 50% indicates an average fit regarding work attitude, stress handling, and team collaboration. There are no strong indicators of exceptional cultural alignment or significant red flags, suggesting a neutral to moderate fit that would require further validation in an interview.

Soft Skills & Operational Fit

The psychometric test score (50%) suggests average performance in logical reasoning, work attitude, stress handling, and team collaboration. While self-driven learning is evident, formal assessment indicates a potential need for development in these areas to fully align with senior-level operational demands.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Artificial Intelligence and Machine Learning Engineer with strong expertise in Python, Data Structures and Algorithms, and applied machine learning. Experienced in developing NLP-based systems, computer vision applications, and predictive models. Qualified 1st and 2nd rounds of TCS CodeVita Season 13 and published two research papers in IRJMETS Journal. Proficient across the full machine learning lifecycle including data preprocessing, feature engineering, model training, evaluation, and optimization. Actively solving DSA problems on LeetCode and HackerRank(Rank :- 100), with a strong interest in building scalable AI solutions.

Key Strengths

Strong theoretical foundation in Artificial Intelligence, Machine Learning, and Data Science.
Exposure to various AI domains including NLP, Computer Vision, and Deep Learning.
Familiarity with a wide range of AI frameworks and tools (TensorFlow, PyTorch, LLMs, LangChain, Streamlit, Vector Databases).
Practical project experience in building AI applications (chatbot, prediction system, face recognition).
Demonstrated commitment to continuous learning through certifications, self-study (LeetCode, HackerRank), and research paper publications.
Good academic background in Computer Science Engineering.

Skill Analysis

Artificial Intelligence & Data Science Fundamentals

★★★★★

88%

Achieved a high score, demonstrating a solid theoretical understanding of Artificial Intelligence and Data Science fundamentals.

Machine Learning ConceptsData Science PrinciplesAI TheoryModel EvaluationSupervised Learning

Strengths

Strong grasp of core AI and Data Science concepts.
Proficiency in theoretical aspects of machine learning.
Ability to understand and apply fundamental AI principles.

Limitations

Specific practical implementation details were not fully assessed.
Potential gaps in advanced, specialized AI topics (e.g., specific deep learning architectures, MLOps).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Python Programming & Web Development Fundamentals

★★★★★

20%

Received a very low score, indicating substantial weaknesses in core Python programming, regular expressions, and related web development/data privacy concepts.

Core PythonRegular ExpressionsDjango BasicsData Anonymization Concepts

Strengths

Limited strengths identified given the low score.

Limitations

Significant gaps in fundamental Python programming skills.
Lack of proficiency in using Regular Expressions.
Weak understanding of basic Django concepts.
Insufficient knowledge of data privacy and anonymization techniques.

ARJUN KUMAR VERMA

Key Strengths

Skill Analysis

Artificial Intelligence & Data Science Fundamentals

Cultural & Operational Fit

About

Skills

Education

Key Strengths

Skill Analysis

Artificial Intelligence & Data Science Fundamentals

Cultural & Operational Fit

Python Programming & Web Development Fundamentals