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AI & ML Intern with less than a year in Data Science and Full-Stack Development
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B.Tech CSE (Data Science) student at ITM Vocational University (CGPA: 9.7) seeking a Remote AI/ML Internship. Skilled in Python, Scikit-learn, and computer vision with hands-on project experience in machine learning and full-stack web development.
ITM Vocational University
B.Tech · Computer Science & Engineering - Data Science
August 1, 2023 – June 30, 2027
Smart Waste Classification System
January 1, 2023 – Present
Trained an AI model to classify dry/wet waste; designed full system workflow for real-world use
AutoMart — Full-Stack Car Marketplace
January 1, 2023 – Present
Developed end-to-end Django web app with car listings, buyer inquiries & user authentication Implemented CRUD, search/filter functionality, and role-based access for buyers and sellers
Student Academic Risk Prediction System
January 1, 2023 – Present
Built an ML model to identify at-risk students using academic, attendance & behavioral data Integrated SHAP explainability to surface key factors driving each student's risk score Deployed a Flask dashboard for faculty with interpretable, real-time prediction insights
Face Recognition Attendance System
January 1, 2023 – Present
Built real-time face detection pipeline for automated attendance logging using OpenCV Improved accuracy through dataset training and preprocessing; eliminated manual errors
Machine Learning
Coursera / NPTEL
June 1, 2026 – Present
Hackathon Grand Finalist — Smart Waste Segregation AI Project
Unknown
June 1, 2026 – Present
Python Programming
Coursera / NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through diverse projects (waste classification, risk prediction, face recognition) and certifications. The blend of academic and personal projects, along with hackathon participation, indicates a proactive and curious mindset, aligning well with an innovative and learning-oriented culture. The target role of 'AI & ML Intern' is a direct match for the candidate's demonstrated interests and skills.
Soft Skills & Operational Fit
The candidate's role as Class Representative and participation in team-based projects suggest leadership potential, communication skills, and an ability to work in a team. The Black Belt in Karate indicates discipline and performance under pressure. These traits are beneficial for operational fit in a dynamic technical environment.