KOMALA G R
Chitradurga
Summary
Motivated Computer Science undergraduate (graduating 2026, CGPA 7.8/10) with strong foundations in Core Java, Oracle SQL, and Web Development. Experienced in building ML-based classification systems and full-stack web applications through internship projects. Currently pursuing Java Full Stack Development training at JSpiders, Bangalore. Seeking an entry-level software developer role to contribute to innovative solutions.
Overview
1
1
Certification
Education
Bachelor of Engineering (BE) - Computer Science
SJM Institute of Technology
Chitradurga01.2026
Class XII - PCMC (Pre-University)
Mahesh PU College
Chitradurga01.2022
Class X -
SJM Residential School
Chitradurga01.2020
Skills
- Java (Core)
- Python
- SQL
- Oracle SQL (DDL)
- Oracle SQL (DML)
- Oracle SQL (DQL)
- Oracle SQL (DCL)
- Oracle SQL (TCL)
- Joins
- Sub-queries
- Normalization
- HTML
- CSS
- Basic Frontend Integration
- Data Structures
- Abstraction
- Encapsulation
- Polymorphism
- Inheritance
- VS Code
- Eclipse
- SQL Plus
- Git (basic)
Personal Information
- Date of Birth: 02/04/04
- Nationality: Indian
Languages
- English
- Hindi
- Kannada
Certification
- Java Full Stack Development, JSpiders, Bangalore, In Progress
- Cyber Security Fundamentals, Redington, ICT Academy
Projects Internship Experience
- Online Voting System, Academic Project, 3 months, Developed a secure web-based voting system using Python, implementing user authentication and session management to prevent duplicate votes., Designed a relational database schema to store voter records and voting results, ensuring data integrity with SQL constraints., Implemented role-based access control (admin and voter roles), reducing unauthorized access attempts by enforcing authentication checks., Tested the system end-to-end for 50+ simulated users, validating correctness of vote counts and authentication flow.
- Email Spam Detection System, Academic Project, 2 months, Built a machine learning pipeline using Python and Scikit-learn to classify emails as spam or non-spam with ~92% accuracy on test data., Applied Natural Language Processing (NLP) techniques including TF-IDF vectorization and text preprocessing (stop-word removal, tokenization)., Compared Naive Bayes and Logistic Regression classifiers; selected Naive Bayes for better performance on the dataset of 5,000+ emails., Documented model evaluation using precision, recall, and F1-score metrics to assess classifier performance.
- Java Full Stack Developer Training, JSpiders, Bangalore, Ongoing, Undergoing intensive training in Core Java, Advanced Java, Spring Framework, and Hibernate., Building hands-on mini-projects covering REST APIs, JDBC, and front-end integration.
Timeline
Bachelor of Engineering (BE) - Computer Science
SJM Institute of Technology
Class XII - PCMC (Pre-University)
Mahesh PU College
Class X -
SJM Residential School