Shrinkhla Shah

Raipur, india

Since September 22, 2025

Skills

AI EngineersGit-GitHubAWS Cloud ServicePower BIPython

Experience

MEGHAAI INDIA PVT. LTD.

Data Science Intern

June 1, 2025 – August 1, 2025

IIT BHILAI

Web Development Intern

June 1, 2024 – October 1, 2024

Key Strengths

Demonstrated strong theoretical knowledge in Data Science and Artificial Intelligence, as evidenced by a 100% score on the specialized AI test.
Relevant project experience in developing AI-driven solutions, including machine learning models (classification, regression), NLP, and real-time visualizations.
Experience in backend infrastructure design, API development, and data ingestion pipelines, which are valuable for deploying AI systems.
Publications in NLP and Generative AI, indicating an interest and engagement in advanced AI topics.
The candidate's project work and specialized AI test performance align with the 'AI Engineer' target role, particularly in the data science and machine learning aspects.

Skill Analysis

Data Scientist - Artificial Intelligence

★★★★★

100%

A perfect score indicates excellent theoretical knowledge and understanding of the evaluated Data Science and Artificial Intelligence concepts.

Data ScienceArtificial IntelligenceMachine LearningPredictive ModelingNLPData PreprocessingData VisualizationBackend InfrastructureAPI DesignChatbot Development

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 43% indicates potential challenges in areas crucial for cultural fit, such as logical reasoning, work attitude, stress handling, and team collaboration. This suggests the candidate may require significant development to align with a collaborative and demanding work environment.

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 strong theoretical knowledge in Data Science and Artificial Intelligence, as evidenced by a 100% score on the specialized AI test.
Relevant project experience in developing AI-driven solutions, including machine learning models (classification, regression), NLP, and real-time visualizations.
Experience in backend infrastructure design, API development, and data ingestion pipelines, which are valuable for deploying AI systems.
Publications in NLP and Generative AI, indicating an interest and engagement in advanced AI topics.
The candidate's project work and specialized AI test performance align with the 'AI Engineer' target role, particularly in the data science and machine learning aspects.

Skill Analysis

Data Scientist - Artificial Intelligence

★★★★★

100%

A perfect score indicates excellent theoretical knowledge and understanding of the evaluated Data Science and Artificial Intelligence concepts.

Data ScienceArtificial IntelligenceMachine LearningPredictive ModelingNLPData PreprocessingData VisualizationBackend InfrastructureAPI DesignChatbot Development

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

General Technical Proficiency

★★★★★

A score of 0% indicates a complete failure to meet the requirements of this technical assessment, suggesting fundamental gaps in core engineering skills.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Strengths

Insufficient data to identify strengths due to the 0% score.

Limitations

Complete lack of performance on this assessment, indicating significant deficiencies in fundamental problem-solving, coding logic, technical accuracy, and practical implementation skills.
This 0% score is a critical concern for any technical role, especially an engineering position.