Profile URL

https://talent.gravityer.com/anurag-singh-jat

Anurag singh Jat

gwalior, india

Since October 8, 2025

Skills

AWS Cloud ServiceMysqlJavaPython

Experience

Helping Hut NGO

Video Editing Head

October 1, 2024 – May 1, 2025

Gwalior

Infosys

AI Intern

October 1, 2024 – December 1, 2024

Chegg

Subject Matter Expert

March 1, 2023 – May 1, 2024

Key Strengths

Strong technical foundation in Python, AI/ML, and Data Science, evidenced by high assessment scores and relevant project experience (Infosys AI Intern, ML projects).
Demonstrated practical application of Python for NLP, LLMs, and machine learning tasks, directly relevant to data-intensive roles.
Solid understanding of data engineering principles, which is crucial for working with data platforms like CrateDB.
Listed SQL as a skill and achieved high scores in Data Engineering and Data Science, indicating a good base for the SQL component of the target role.
Proactive in learning and applying new technologies, as shown by diverse project tools (Streamlit, NLTK, TensorFlow/Keras, OpenCV).

Skill Analysis

Java & Spring Framework

★★★★★

82%

Achieved a high score of 82%, indicating solid foundational knowledge in Java and Spring, aligning well with junior engineer expectations.

JavaSpringOOPCore JavaSpring Boot

Strengths

Demonstrates a strong foundational understanding of core Java concepts.
Shows good proficiency in the Spring framework, suitable for junior-level applications.

Limitations

Specific areas for improvement in advanced Java features or specific Spring modules are not detailed, but a perfect score was not achieved.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 67% indicates a moderate cultural fit. While the candidate's resume highlights team leadership and collaboration in NGO work and internships, suggesting a proactive and team-oriented individual, the psychometric score implies there could be specific aspects of work attitude, logical reasoning, or stress handling that warrant further exploration to ensure a complete cultural alignment.

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 technical foundation in Python, AI/ML, and Data Science, evidenced by high assessment scores and relevant project experience (Infosys AI Intern, ML projects).
Demonstrated practical application of Python for NLP, LLMs, and machine learning tasks, directly relevant to data-intensive roles.
Solid understanding of data engineering principles, which is crucial for working with data platforms like CrateDB.
Listed SQL as a skill and achieved high scores in Data Engineering and Data Science, indicating a good base for the SQL component of the target role.
Proactive in learning and applying new technologies, as shown by diverse project tools (Streamlit, NLTK, TensorFlow/Keras, OpenCV).

Skill Analysis

Java & Spring Framework

★★★★★

82%

Achieved a high score of 82%, indicating solid foundational knowledge in Java and Spring, aligning well with junior engineer expectations.

JavaSpringOOPCore JavaSpring Boot

Strengths

Demonstrates a strong foundational understanding of core Java concepts.
Shows good proficiency in the Spring framework, suitable for junior-level applications.

Limitations

Specific areas for improvement in advanced Java features or specific Spring modules are not detailed, but a perfect score was not achieved.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Science & Artificial Intelligence

★★★★★

94%

Achieved an outstanding score of 94%, indicating a comprehensive and deep understanding of data science and artificial intelligence, aligning well with the candidate's project experience.

Data ScienceAIMachine LearningNLPLLMsPythonScikit-learnTensorFlowKeras

Strengths

Exceptional proficiency in data science and artificial intelligence concepts.
Demonstrates a deep understanding of NLP and LLMs, supported by project experience.
Strong practical skills in machine learning model development and evaluation.

Limitations

No significant weaknesses are apparent from the outstanding score.

Anurag singh Jat

Skills

Experience

Key Strengths

Skill Analysis

Java & Spring Framework

Cultural & Operational Fit

Key Strengths

Skill Analysis

Java & Spring Framework

Cultural & Operational Fit

Data Engineering & Data Platforms

Data Science & Artificial Intelligence