Golla Jeevan Kumar

India

Since December 7, 2025

Skills

Python

Experience

Edunet

Data Analyst Intern

May 1, 2024 – June 1, 2024

SRM University

International Relations Student Leader (Programs)

January 1, 2024 – January 1, 2025

Key Strengths

Demonstrated foundational Python skills through multiple projects and internships, including data analysis, machine learning, natural language processing, and computer vision.
Practical experience with key Python libraries such as pandas, matplotlib, seaborn, OpenCV, MediaPipe, and web frameworks like Flask.
Exposure to AI/ML model development, deployment concepts, and scalable system design through virtual internships and projects.
Experience with exploratory data analysis (EDA) and data visualization techniques.
Proactive engagement in hackathons and student leadership roles, indicating self-motivation, teamwork, and organizational skills.
Familiarity with core Computer Science concepts including Data Structures and Algorithms, Operating Systems, Computer Networks, and Database Management Systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience in coordinating international exchange activities suggests an ability to engage effectively with diverse groups and manage cross-cultural interactions, which is a positive indicator for cultural integration. Involvement in team-based hackathons also points to collaborative tendencies. However, the psychometric test score of 0 provides no formal data for assessing logical reasoning, work attitude, stress handling, or team collaboration, making a full cultural fit analysis impossible based solely on the provided information.

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 foundational Python skills through multiple projects and internships, including data analysis, machine learning, natural language processing, and computer vision.
Practical experience with key Python libraries such as pandas, matplotlib, seaborn, OpenCV, MediaPipe, and web frameworks like Flask.
Exposure to AI/ML model development, deployment concepts, and scalable system design through virtual internships and projects.
Experience with exploratory data analysis (EDA) and data visualization techniques.
Proactive engagement in hackathons and student leadership roles, indicating self-motivation, teamwork, and organizational skills.
Familiarity with core Computer Science concepts including Data Structures and Algorithms, Operating Systems, Computer Networks, and Database Management Systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit