Open to opportunities

Aryan Raj

@aryanraj

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Final-year Computer Science student skilled in software and data engineering.

India

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What I'm looking for

I am looking for a dynamic work environment that fosters innovation and offers opportunities for growth in software and data engineering.

I am a final-year Computer Science student at NIT Rourkela, passionate about leveraging technology to solve real-world problems. With hands-on experience in Python, SQL, and automation, I have developed a strong foundation in data analysis and machine learning. My internship at GEP Worldwide allowed me to automate internal workflows, improving efficiency by 25% and reducing manual workload by 30% through effective collaboration with agile teams.

In addition to my technical skills, I have worked on various projects, including a real-time human detection tool using YOLOv5 and TensorFlow, and a responsive calculator app. My commitment to continuous learning is reflected in my certifications, including Machine Learning by Andrew Ng and PostgreSQL. I am eager to apply my skills in software or data engineering roles to build scalable tech solutions that make a difference.

Experience

Work history, roles, and key accomplishments

Software Development Intern

GEP Worldwide

May 2025 - Present (0 months)

Automated internal GitHub workflows using Python, improving repository management efficiency by 25%. Collaborated with agile development teams, contributing to planning and documentation of SDLC phases. Supported integration of automation tasks into live repositories, reducing manual workload by 30%.

Python GitHub Automation Agile Development SDLC Workflow Management Version Control

Education

Degrees, certifications, and relevant coursework

NIT Rourkela

Bachelor of Technology, Computer Science and Engineering

Grade: 8.15/10

Pursued a Bachelor of Technology in Computer Science and Engineering, focusing on core subjects such as Data Structures, Database Management Systems, Operating Systems, and Object-Oriented Programming. Gained foundational knowledge in computer networks and other essential computer science principles.