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AI Engineer with less than a year in Machine Learning and Natural Language Processing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science (AI & ML) student with strong analytical, technical, and communication skills. Interested in solving real-world problems using programming, data analysis, and AI technologies. Quick learner with teaching experience and strong problem-solving ability.
Aurora's Technological and Research Institute
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2022 – June 30, 2026
AI-Based Online Car Rental Application
January 1, 2024 – June 1, 2026
Developed a car rental management system using Python with MySQL for structured data storage and booking management. Designed relational database tables for users, vehicles, and reservations with SQL-based CRUD operations. Implemented basic recommendation logic and automated booking workflows to improve user experience.
Food Delivery AI Chatbot
January 1, 2024 – June 1, 2026
Built a rule-based chatbot using Python and basic NLP concepts for automated order handling. Integrated MySQL database to store menu data, customer details, and order history. Used SQL queries to dynamically retrieve menu items and process customer orders efficiently.
Cultural Fit Analysis
The candidate is an entry-level student with academic projects. While the projects align with AI/ML, the breadth of experience is limited to academic settings. The inclusion of 'Digital Marketing' in project technologies and professional skills, without clear context or relevance to an AI Engineer role, suggests a potential misalignment or lack of focus. The absence of diverse project types or contributions beyond basic academic assignments limits the assessment of cultural fit for a dynamic professional environment.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, and communication skills. However, without direct work experience, the operational fit and ability to handle real-world project complexities, stress, and team collaboration are largely unproven. The psychometric test score is 0, which indicates a significant gap in assessing these areas.