Profile URL

https://talent.gravityer.com/divyanshu-sharma

Divyanshu Sharma

Ankleshwar, Gujarat, India

Since March 14, 2026

Skills

RAG (Retrieval-Augmented Gener ation)Data InterpretationPredictive ModelingMysqlPower BITableauanalysisAdvanced Excel (VBA)PythonMachine LearningMarketing AnalyticsHR Analytics

Experience

IBM, International Business Machines

Data Science Intern

June 1, 2025 – July 1, 2025

DRDO-ISSA Lab, Defense Research and Development Organization

Data Science Intern

June 1, 2025 – July 1, 2025

Delhi, India

IPM Management Services

Marketing Analyst Intern

April 1, 2024 – September 1, 2024

Dehradun, India

Key Strengths

Demonstrated Python and SQL skills through projects like Bodhak AI (text-to-SQL) and Blinkit Sales Analysis, which are highly relevant to the target intern role.
Good performance in the Data Science & AI assessment (94%), indicating a solid understanding of machine learning, data preprocessing, and NLP concepts.
Practical experience with LangChain for integrating large language models with structured data sources, a valuable skill for modern data applications.
Internship experience at reputable organizations (IBM, DRDO) provides exposure to real-world data science problems and project execution.
Proficiency in data visualization tools like Power BI, Matplotlib, and Seaborn for presenting insights.

Skill Analysis

IT Business Partnering

★★★★★

100%

Achieved a perfect score, indicating a strong grasp of IT Business Partnering principles and practices, though less directly relevant to a Python/SQL intern role.

Business AcumenStakeholder ManagementIT StrategyConsulting

Strengths

Demonstrated complete mastery of IT Business Partnering concepts.
Excellent understanding of strategic IT alignment and consulting principles.

Limitations

No specific weaknesses identified based on perfect score in this domain.

SAP Digital Transformation Management

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 63% suggests a moderate alignment with typical workplace cultural expectations regarding logical reasoning, work attitude, stress handling, and team collaboration. Further assessment during interviews would be beneficial to fully gauge cultural fit and specific behavioral traits.

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

Demonstrated Python and SQL skills through projects like Bodhak AI (text-to-SQL) and Blinkit Sales Analysis, which are highly relevant to the target intern role.
Good performance in the Data Science & AI assessment (94%), indicating a solid understanding of machine learning, data preprocessing, and NLP concepts.
Practical experience with LangChain for integrating large language models with structured data sources, a valuable skill for modern data applications.
Internship experience at reputable organizations (IBM, DRDO) provides exposure to real-world data science problems and project execution.
Proficiency in data visualization tools like Power BI, Matplotlib, and Seaborn for presenting insights.

Skill Analysis

IT Business Partnering

★★★★★

100%

Achieved a perfect score, indicating a strong grasp of IT Business Partnering principles and practices, though less directly relevant to a Python/SQL intern role.

Business AcumenStakeholder ManagementIT StrategyConsulting

Strengths

Demonstrated complete mastery of IT Business Partnering concepts.
Excellent understanding of strategic IT alignment and consulting principles.

Limitations

No specific weaknesses identified based on perfect score in this domain.

SAP Digital Transformation Management

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Science & Artificial Intelligence

★★★★★

94%

Achieved a high score, indicating strong competence in data science and artificial intelligence, with only minor areas for potential refinement.

Machine LearningData PreprocessingModel DevelopmentNLPPythonScikit-learnLangChainAI

Strengths

Strong foundational knowledge in data science and AI concepts.
Proficient in machine learning model development and data preprocessing.
Demonstrated ability to apply AI techniques in practical scenarios (e.g., text-to-SQL).

Limitations

Minor areas for improvement in specific advanced AI topics, as indicated by the 94% score, though details are not provided.