Profile URL

https://talent.gravityer.com/harsh-bhogal

Harsh Bhogal

Raipur, Chhattisgarh, India

Since January 28, 2026

Skills

Machine LearningAI Engineers

Experience

EduSkills Foundation

AI & Machine Learning Virtual Intern

January 1, 2025 – March 1, 2025

India

Key Strengths

Demonstrates strong practical experience in AI/ML through diverse projects (healthcare, farming, medical imaging, weather forecasting) for a candidate with 0 years of experience.
Proficient in Python, TensorFlow, and Django, with experience in building deep learning models and scalable backend systems.
Proven ability to optimize ML models (e.g., 93% accuracy improvement) and build automated data preprocessing pipelines.
Experience with Git version control and Agile environment in an internship setting.
Good performance in the Data Scientist — Artificial Intelligence assessment (76%) indicates a solid grasp of core AI/DS concepts.

Skill Analysis

Senior AI/Data Science

★★★★★

63%

Achieved 63%, indicating a good foundational understanding of AI and Data Science, but with room for growth in advanced and specialized areas expected at a senior level.

Machine LearningData ScienceDevOpsSystem AdministrationAdaptability

Strengths

Demonstrates a foundational understanding of core machine learning and data science concepts.
Shows an ability to adapt to new concepts and challenges.

Limitations

Performance indicates a need for deeper knowledge in advanced AI/DS topics.
Specific areas like DevOps and System Administration require further development for a senior role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 56% indicates an average alignment with typical expectations for work attitude, stress handling, and team collaboration. This suggests potential areas for development in interpersonal skills and resilience within a professional team setting.

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

Demonstrates strong practical experience in AI/ML through diverse projects (healthcare, farming, medical imaging, weather forecasting) for a candidate with 0 years of experience.
Proficient in Python, TensorFlow, and Django, with experience in building deep learning models and scalable backend systems.
Proven ability to optimize ML models (e.g., 93% accuracy improvement) and build automated data preprocessing pipelines.
Experience with Git version control and Agile environment in an internship setting.
Good performance in the Data Scientist — Artificial Intelligence assessment (76%) indicates a solid grasp of core AI/DS concepts.

Skill Analysis

Senior AI/Data Science

★★★★★

63%

Achieved 63%, indicating a good foundational understanding of AI and Data Science, but with room for growth in advanced and specialized areas expected at a senior level.

Machine LearningData ScienceDevOpsSystem AdministrationAdaptability

Strengths

Demonstrates a foundational understanding of core machine learning and data science concepts.
Shows an ability to adapt to new concepts and challenges.

Limitations

Performance indicates a need for deeper knowledge in advanced AI/DS topics.
Specific areas like DevOps and System Administration require further development for a senior role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Scientist — Artificial Intelligence

★★★★★

76%

Scored 76%, demonstrating solid proficiency in Data Science and Artificial Intelligence fundamentals, indicating a good understanding of the subject matter relevant to the role.

Data ScienceArtificial Intelligence

Strengths

Strong grasp of fundamental Data Science and Artificial Intelligence principles.
Capable of applying core AI/DS concepts effectively.

Limitations

While strong, there may be specific advanced AI/DS topics where deeper expertise is needed to reach an expert level.

Python Development & Data Analysis

★★★★★

58%

A score of 58% suggests a basic to intermediate understanding of Python development and data analysis, with notable areas for improvement, especially for a role requiring strong coding skills.

Python 3.xData Analysis with PythonAlgorithmsUnit TestingStreaming Data

Strengths

Basic understanding of Python for data analysis and algorithms.

Limitations

Significant gaps in advanced Python programming concepts and best practices.
Limited proficiency in Unit Testing, which is crucial for production-ready code.
Areas related to Streaming Data and complex algorithms require substantial improvement.