Yash Dutt Sharma

AI Engineer

https://www.opentalent.in/yash-dutt-sharma

Bareilly, Uttar Pradesh, IndiaMember since March 10, 2026

Key Strengths

Demonstrated foundational understanding and practical application of Machine Learning and Natural Language Processing through multiple internship projects.
Proficiency in Python, along with key AI/ML frameworks such as TensorFlow, Scikit-learn, Pandas, and NumPy.
Experience in the full ML pipeline, including data preprocessing, feature engineering, model training (classification, regression, clustering), evaluation, and deployment (Flask, REST API, cloud platforms).
Specific project experience in sentiment analysis, heart disease prediction, and object detection/recognition (YOLO, Tesseract OCR) directly aligns with AI Engineer responsibilities.
Exposure to IoT solutions (ThingWorx) and data visualization tools (Tableau, Power BI) indicates a broad technical interest and capability.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 strongly suggests a severe mismatch in cultural fit. Key aspects such as teamwork, adaptability, and problem-solving under pressure, which are crucial for cultural integration, appear to be entirely absent based on the provided assessment data.

Soft Skills & Operational Fit

The psychometric test score of 0 indicates significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. This score suggests a critical lack of operational fit and raises serious questions about the candidate's ability to function effectively in a professional environment.

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Assessing your cultural and operational fit

Experience

Dysmech Competency Services (DCS)

Training Intern

June 1, 2025 – July 1, 2025

Softpro India Pvt Ltd

Summer Intern

June 1, 2025 – August 1, 2025

Noida, India

EduSkills (Supported by Google for Developers, AICTE, India Edu Program)

Summer Intern

May 1, 2025 – July 1, 2025

Key Strengths

Demonstrated foundational understanding and practical application of Machine Learning and Natural Language Processing through multiple internship projects.
Proficiency in Python, along with key AI/ML frameworks such as TensorFlow, Scikit-learn, Pandas, and NumPy.
Experience in the full ML pipeline, including data preprocessing, feature engineering, model training (classification, regression, clustering), evaluation, and deployment (Flask, REST API, cloud platforms).
Specific project experience in sentiment analysis, heart disease prediction, and object detection/recognition (YOLO, Tesseract OCR) directly aligns with AI Engineer responsibilities.
Exposure to IoT solutions (ThingWorx) and data visualization tools (Tableau, Power BI) indicates a broad technical interest and capability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit