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Data Science with less than a year in Java & Web Technologies
Arvind Kosta is a junior Data Science Engineer with 4 months of experience in Java development and web technologies. He has a strong foundation in Data Structures, Algorithms, Database Management, and Object-Oriented Programming. Arvind is proficient in a wide range of technologies including Spring Boot, React, MySQL, and AWS EC2. He has applied his skills in projects such as a Property Management System and a Smart Resource Allocation System, demonstrating problem-solving abilities and a commitment to continuous learning.
Gyan Ganga Institute of Technology & Sciences
B.Tech · Computer Science & Engineering (Data Science)
August 1, 2023 – June 30, 2027
Spring Day Hr. Secondary School
CLASS XII · SCIENCE
June 1, 2021 – May 31, 2021
Spring Day Hr. Secondary School
CLASS X · GENERAL
June 1, 2019 – May 31, 2019
Illumine Soft. Res. & Dev. Center
Vocational Trainee
September 1, 2025 – December 1, 2025
Jabalpur, Madhya Pradesh, India
RSAI Squad - Smart Resource Allocation and Volunteer Coordination System
June 1, 2026 – June 1, 2026
Built priority-based task allocation system using Spring Boot and REST APIs. Implemented urgency and skill-based volunteer assignment with load balancing. Integrated MySQL for managing volunteers, tasks, and assignments.
Property Management System (Major Project)
September 1, 2025 – December 1, 2025
Developed a role-based Property Management System using Java, JSP, and Servlets. Implemented MVC architecture with secure authentication. Enabled tenant management, rent tracking, and maintenance handling. Used JDBC and MySQL for database connectivity and storage. Deployed the application on Apache Tomcat Server (v9.0).
Programming Essentials in Python, C & C++
Cisco Networking Academy
June 1, 2026 – Present
AWS Academy Cloud Foundations
AWS Academy
June 1, 2026 – Present
Alibaba Cloud
Alibaba Cloud Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in academic projects, hackathons, and volunteer activities suggests a collaborative and engaged individual. The breadth of skills and certifications indicates a willingness to learn and adapt, which aligns well with a growth-oriented culture. However, the projects are primarily academic, and the target role is Data Science, while the projects are more focused on full-stack Java development. This indicates a potential misalignment in direct experience for the target role, though the underlying technical aptitude is present.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude and engagement in extracurricular activities, suggesting good potential for teamwork and adaptability. The vocational training description highlights a strong professional attitude. However, with limited professional experience, the depth of operational fit and soft skills in a real-world, fast-paced environment is yet to be fully validated.