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AI and Data Science Student with Full Stack Development and IoT experience.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A motivated and detail-oriented AI and Data Science Student with hands-on experience in full-Stack web development, IoT systems, and machine learning. Proficient in creating responsive web applications using HTML, CSS, JS, and Spring Boot, with backend integration using MySQL. Successfully developed real-world projects including an e-commerce website with secure login functionality and a Face Recognition-Based ATM Security System. Strong debugging abilities, experience with API testing Postman, and a keen interest in ethical hacking and cybersecurity.
Kings Engineering College
Bachelor of Technology (B.Tech.) · Artificial Intelligence & Data Science (AI&DS)
August 1, 2022 – June 30, 2026
NoviTech R&D Pvt Ltd
Full Stack Development Internship
March 1, 2026 – Present
India
Web Development - E-Commerce Website
June 28, 2026 – Present
Developed a responsive E-Commerce website with user login using HTML, CSS, JS, Spring Boot, Postman, and MySQL.
IoT Development - Face Recognition-Based ATM Security System
June 28, 2026 – Present
Built a Face Recognition-Based ATM Security System using Arduino, Python (OpenCV), Ultrasonic sensor, and LED for secure access control.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest from web development to IoT and AI/DS, indicating a willingness to explore diverse technical areas. The internship in full-stack development aligns with the target role. However, the overall experience level is very junior (still pursuing a bachelor's degree), which might require significant mentorship and integration into a senior-level team culture.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, adaptability, and attention to detail as soft skills. These are generally positive for operational fit, but without specific examples or assessment data, their practical application and effectiveness cannot be fully evaluated.