AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated experience with Python and Oracle DB through an internship project (automated greeting system).
Familiarity with SQL, as listed in technologies and supported by a Database Management System certificate.
Strong academic background in Computer Science Engineering with a good CGPA (8.35).
Experience with cloud platforms (GCP, Cloud Run, GKE) and containerized applications.
Project experience includes developing a scholarship system, a plant disease recognition system (CNN-based), and a real-time chat application.
Strong performance in Data Science and AI concepts (88% on relevant test) indicates analytical aptitude.

Skill Analysis

Data Scientist - Artificial Intelligence

★★★★★

88%

Achieved a very high score (88%), demonstrating strong foundational knowledge in data science and AI principles, which aligns with projects like Plant Disease Recognition System and publications.

Data ScienceArtificial IntelligenceMachine LearningData AnalysisNeural NetworksNLP

Strengths

Demonstrated strong foundational knowledge in data science and artificial intelligence concepts.
Achieved a high score, indicating a good grasp of theoretical aspects and problem-solving in this domain.

Limitations

Cultural & Operational Fit

Cultural Fit Analysis

Based on the psychometric test score of 72%, the candidate demonstrates a good propensity for logical reasoning, positive work attitude, reasonable stress handling, and team collaboration. This suggests a generally good cultural fit within a professional team environment.

Soft Skills & Operational Fit

The candidate's psychometric test score of 72% suggests a generally good fit for logical reasoning, work attitude, stress handling, and team collaboration. Resume highlights like earning 'Most Innovative Intern' and improving internal engagement by 40% further support a positive work ethic and collaborative spirit.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Nitish gupta

Python / SQL – CrateDB Intern

https://www.opentalent.in/nitish-gupta

Raipur, indiaMember since September 22, 2025

https://www.opentalent.in/nitish-gupta

Skills

BackendPostmanGit-GitHubMysqlGoogle Cloud ServicesSoftware DevelopersReact.jsPythonPower BINode.jsWeb DevelopersFull-stackBig Data Architects

Experience

Jayaswal NECO Industries Ltd.

Software Intern

June 1, 2024 – August 1, 2024

CodeClause

Web Development Intern

August 1, 2023 – September 1, 2023

Key Strengths

Demonstrated experience with Python and Oracle DB through an internship project (automated greeting system).
Familiarity with SQL, as listed in technologies and supported by a Database Management System certificate.
Strong academic background in Computer Science Engineering with a good CGPA (8.35).
Experience with cloud platforms (GCP, Cloud Run, GKE) and containerized applications.
Project experience includes developing a scholarship system, a plant disease recognition system (CNN-based), and a real-time chat application.
Strong performance in Data Science and AI concepts (88% on relevant test) indicates analytical aptitude.

Skill Analysis

Data Scientist - Artificial Intelligence

★★★★★

88%

Achieved a very high score (88%), demonstrating strong foundational knowledge in data science and AI principles, which aligns with projects like Plant Disease Recognition System and publications.

Data ScienceArtificial IntelligenceMachine LearningData AnalysisNeural NetworksNLP

Strengths

Demonstrated strong foundational knowledge in data science and artificial intelligence concepts.
Achieved a high score, indicating a good grasp of theoretical aspects and problem-solving in this domain.

Limitations

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Junior Python Development

★★★★★

31%

Scored significantly below average (31%), indicating a weak grasp of fundamental Python development concepts, data analysis techniques, and testing methodologies, which is a critical concern for a Python-focused role.

Python 3.xData Analysis with PythonStreaming DataUnit TestingAlgorithmsCore Python

Strengths

Basic familiarity with Python syntax and concepts, as evidenced by some points scored.

Limitations

Significant gaps in core Python development, including data analysis techniques and algorithmic problem-solving.
Lack of proficiency in unit testing methodologies.
Performance indicates a weak grasp of practical application and deeper understanding of Python for development.