Divyansh Mahajan

National Institute of Technology Delhi

Amritsar, Punjab, India

Since February 12, 2026

Skills

PythonMachine LearningHTMLCSS

Experience

National Institute of Technology Delhi

Research Intern

January 1, 2026 – Present

Delhi, India

Indian Institute of Technology Jammu, in collaboration with Techible & I3C-IIT Jammu

Summer Intern

June 1, 2025 – July 1, 2025

Jammu, Jammu & Kashmir, India

NSPL Research & Training Centre

Trainee

June 1, 2024 – July 1, 2024

Amritsar, Punjab, India

Key Strengths

Demonstrated interest and hands-on experience in AI/ML and IoT-based systems through internships and projects.
Proficiency in Python and exposure to related frameworks/libraries such as Flask, Scikit-learn, Pandas, and NumPy.
Proactive engagement in research work and project development, indicating a strong learning aptitude.
Experience in team leadership and collaboration, as noted in resume and project descriptions.
The candidate's project portfolio (SmartAgroCare, EMO-PRED, SmartCare AI) aligns with the problem-solving aspects of a Python Engineer role, especially in data science/ML domains.

Skill Analysis

Python Development

★★★★★

31%

The candidate scored 31% on the Junior Python Developer test, indicating a foundational understanding but significant gaps in core Python development, data analysis, unit testing, and algorithms. This score suggests a need for substantial improvement in fundamental technical areas.

Data Analysis with PythonUnit-TestingStreaming-DataPython 3.xalgorithms

Strengths

Demonstrated foundational exposure to Python concepts and related libraries.
Attempted questions across various Python sub-skills, indicating breadth of exposure.

Limitations

Significant gaps in core Python development, data analysis, unit testing, and algorithms.
Struggled with practical implementation and problem-solving in Python, as evidenced by the low score.
Lack of depth in understanding and applying advanced Python features and best practices.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's psychometric test score of 39.6% indicates potential concerns regarding cultural fit, particularly in areas such as logical reasoning, work attitude, stress handling, and team collaboration. These aspects are crucial for effective integration into a dynamic team environment and warrant further investigation.

Soft Skills & Operational Fit

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