Nandha Engineering College
Bachelor of Technology in Artificial Intelligence and Data Science
CGPA: 8.0
Portfolio Resume
AI & Data Science Student / Full Stack Developer
Building practical solutions at the intersection of machine learning, software engineering, and product design. Focused on AI systems, clean web experiences, and useful digital tools for real users.
Summary
AI and Data Science student with a strong interest in machine learning, computer vision, and full stack product development. Comfortable turning ideas into polished interfaces and functional systems, with a focus on usability, clean implementation, and practical impact.
Education
Bachelor of Technology in Artificial Intelligence and Data Science
CGPA: 8.0
Higher Secondary Education
Relevant coursework: Machine Learning, Computer Vision, Data Structures, Algorithms.
Skills
Projects
Computer vision exploration focused on scene reconstruction and neural rendering workflows.
Machine LearningVoice-driven automation concept aimed at improving everyday task handling with natural interaction.
PythonSIH project for structured civic issue reporting, designed to simplify feedback and action flow.
System DesignData visualization and analytics interface for non-technical users to explore datasets efficiently.
Data VisualizationExperience
UI/UX Designer
Worked on UI/UX design for vehicle management systems, turf booking platforms, and gym management software, with emphasis on interface clarity and operational usability.
Recognition
Hands-on certification focused on dashboards and visual storytelling.
PSG Tech competition recognition for practical problem solving and execution.
IIT Madras workshop participation strengthening core programming and automation skills.
Active involvement in coding platforms to sharpen algorithms and problem solving.
Training exposure to neural network fundamentals and model-building concepts.
Leadership
Organized a UI/UX workshop at Nandha Engineering College, contributing to peer learning and design exposure.
Interests
Integration Ready
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