Aaditya Kajley

ML Engineer

https://www.opentalent.in/aaditya-kajley

Chandigarh University

Key Strengths

Strong academic background in Computer Science with a specialization in Artificial Intelligence and Machine Learning.
Demonstrated hands-on experience in Machine Learning model development, including classification, deep learning (1D CNN), and Explainable AI (SHAP).
Proficiency in Python and key ML libraries such as Scikit-learn, TensorFlow, NumPy, and Pandas.
Experience in full-stack development (MERN stack) and API integration, valuable for deploying ML models.
Authored a research paper on Explainable Machine Learning, indicating a deep theoretical understanding and contribution to the field.
Proactive in skill development, evidenced by solving 250+ DSA questions on LeetCode and completing an AI for Healthcare Coursera certification.
Projects align well with the target ML Engineer role, focusing on predictive models and scalable API development.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500 is a critical concern, indicating a complete lack of fit or severe deficiencies in areas such as logical reasoning, work attitude, stress handling, and team collaboration. This score suggests fundamental issues that would impede successful integration into a team and professional environment.

Soft Skills & Operational Fit

The resume suggests analytical thinking, problem-solving abilities, and a strong interest in continuous learning. However, the psychometric test score of 0/500 raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are critical for 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

Education

Chandigarh University

Master of Engineering · computer science

September 1, 2024 – May 17, 2026

Chandigarh University

bachelor of engineering · computer science

August 16, 2020 – June 2, 2024

Key Strengths

Strong academic background in Computer Science with a specialization in Artificial Intelligence and Machine Learning.
Demonstrated hands-on experience in Machine Learning model development, including classification, deep learning (1D CNN), and Explainable AI (SHAP).
Proficiency in Python and key ML libraries such as Scikit-learn, TensorFlow, NumPy, and Pandas.
Experience in full-stack development (MERN stack) and API integration, valuable for deploying ML models.
Authored a research paper on Explainable Machine Learning, indicating a deep theoretical understanding and contribution to the field.
Proactive in skill development, evidenced by solving 250+ DSA questions on LeetCode and completing an AI for Healthcare Coursera certification.
Projects align well with the target ML Engineer role, focusing on predictive models and scalable API development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit