YUGANTHIKA P

[email protected] +91 7810028819
LinkedIn: https://www.linkedin.com/in/Yuganthika-P

PROFESSIONAL SUMMARY

### Professional Summary Computer Science and Engineering student with a strong interest in Artificial Intelligence, Machine Learning, Data Analytics, and Software Development. Have a good foundation in programming, problem-solving, data handling, database concepts, and software development fundamentals, with an interest in applying these skills to practical challenges. A motivated and quick learner who enjoys exploring new technologies, developing solutions, and improving technical knowledge through projects and hands-on learning. Possess good analytical, communication, teamwork, and time-management skills, with the ability to adapt to new environments. Seeking opportunities to gain real-world experience, contribute to meaningful projects, and build a strong career in the technology field.

WORK EXPERIENCE

WEB DEVELOPMENT
Imagecon India Private Limited
Applied HTML, CSS, and basic JavaScript through hands-on training
Developed a basic Career Highlights website focusing on page structure, styling, and simple interactivity
Gained exposure to responsive design, basic DOM manipulation, and debugging

EDUCATION

B.E. Computer Science and Engineering
01/2027
Knowledge Institute of Technology GPA: 7.5 / 10
Higher Secondary Education (12th)
01/2023
Holy Angels’ Matric Higher Secondary School GPA: 70%
Secondary Education (10th)
01/2021
L.E.F. Eden Garden Matriculation School

SKILLS

PROJECTS

Travel Tales - Web Application
Technologies: React.js, JavaScript, HTML5, CSS3
Built a responsive web application using React.js, JavaScript, HTML5, and CSS3
Designed reusable React components and implemented Hooks for efficient state and data handling
Optimized UI responsiveness across devices, improving performance and user experience
AI-based Anemia Detection
Technologies: AI, Deep Learning
Contributed to dataset preprocessing and training for an AI & Deep Learning-based solution
Collaborated in a 4-member team to improve data quality and enhance model performance

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