Profile URL

https://talent.gravityer.com/ashish-kumar-rastogi

Ashish Kumar Rastogi

Bareilly, Uttar Pradesh, India

Since March 9, 2026

Skills

PythonMysqlNosqlAPI IntegrationGit-GitHubPostmanETL PipelinesData ModelingData PreprocessingModel EvaluationStatisticsPredictive ModelingReport WritingData InterpretationAPI DesignMachine LearningTensorFlowPyTorchAWSBusiness AnalystanalysisAI EngineerLLM applicationsRAG (Retrieval-Augmented Gener ation)AI/ML FrameworksPandas, NumPyData Visualization DesignersHTML5JavaScriptNode.jsPower BIBackendRest Api

Experience

PearlThoughts

AI Engineer Intern

January 1, 2026 – February 1, 2026

EduSkills

AI/ML Virtual Internship

July 1, 2025 – September 1, 2025

Key Strengths

Demonstrated understanding of AI/ML fundamentals, particularly in image classification (CNNs, TensorFlow) and NLP (TF-IDF), as evidenced by projects and the 'Data Scientist — Artificial Intelligence' test score.
Practical experience in building and integrating ML models into web applications (Flask, REST APIs) through personal projects.
Internship experience, though brief, shows exposure to refactoring legacy Python code and end-to-end ML workflows.
The project portfolio aligns well with typical AI Engineer responsibilities, showcasing practical application of learned skills.

Skill Analysis

Artificial Intelligence & Data Science Fundamentals

★★★★★

82%

Achieved a high score, indicating a strong grasp of fundamental concepts in Artificial Intelligence and Data Science.

data scientistMachine LearningDeep LearningModel EvaluationData PreprocessingAI Concepts

Strengths

Demonstrated solid foundational understanding of AI and data science principles.
Strong performance in core AI/ML concepts, indicating potential for growth in the field.

Limitations

Specific areas of weakness within the test are not detailed, limiting granular feedback.
Further depth in advanced AI topics and practical application may be required.

Python Programming & Data Analysis

★★★★★

58%

A moderate score suggests foundational knowledge but indicates considerable areas for improvement in core Python programming and related advanced topics.

Python 3.x

Cultural & Operational Fit

Cultural Fit Analysis

The low psychometric test score (44%) raises concerns about the candidate's fit regarding work attitude, stress handling, and team collaboration. These aspects are crucial for cultural alignment and effective teamwork. Further assessment is required to understand the root causes of this score.

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 understanding of AI/ML fundamentals, particularly in image classification (CNNs, TensorFlow) and NLP (TF-IDF), as evidenced by projects and the 'Data Scientist — Artificial Intelligence' test score.
Practical experience in building and integrating ML models into web applications (Flask, REST APIs) through personal projects.
Internship experience, though brief, shows exposure to refactoring legacy Python code and end-to-end ML workflows.
The project portfolio aligns well with typical AI Engineer responsibilities, showcasing practical application of learned skills.

Skill Analysis

Artificial Intelligence & Data Science Fundamentals

★★★★★

82%

Achieved a high score, indicating a strong grasp of fundamental concepts in Artificial Intelligence and Data Science.

data scientistMachine LearningDeep LearningModel EvaluationData PreprocessingAI Concepts

Strengths

Demonstrated solid foundational understanding of AI and data science principles.
Strong performance in core AI/ML concepts, indicating potential for growth in the field.

Limitations

Specific areas of weakness within the test are not detailed, limiting granular feedback.
Further depth in advanced AI topics and practical application may be required.

Python Programming & Data Analysis

★★★★★

58%

A moderate score suggests foundational knowledge but indicates considerable areas for improvement in core Python programming and related advanced topics.

Python 3.x

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit