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Computer Science and Engineering Student
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
trashify
May 8, 2025 – May 11, 2025
A deep learning project that classifies garbage into six categories (cardboard, glass, metal, paper, plastic, and trash) using a Convolutional Neural Network (CNN). Includes a complete frontend-backend system built with Flask for real-time image classification.
View ProjectCalculator
November 25, 2024 – November 25, 2024
A basic calculator application that allows users to perform simple arithmetic operations like addition, subtraction, multiplication, and division. The calculator has a clean and intuitive user interface, making it easy to use.
View ProjectE-Dashboard-TCP
November 9, 2024 – November 9, 2024
E-Commerce Dashboard: Designed and developed a data management dashboard for The Computer Point, a hardware and software store. The dashboard leverages MongoDB to store and handle product information, inventory, and sales data. It allows administrators to easily view, add, edit, and delete product records.
View ProjectChatApp
November 2, 2024 – November 4, 2024
ChatApp: Created a real-time chat application using Node.js, Express, and Socket.IO to enable instant communication between users. This app supports multiple rooms, direct messaging, and live status updates. With a clean and simple interface.
View ProjectPortfolio
November 2, 2024 – November 18, 2024
Designed and developed a personal portfolio website to showcase my projects, skills, and achievements. The website features an intuitive layout and responsive design, highlighting my work. Technologies used: HTML, CSS, JavaScript, and responsive design principles.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate initiative and a diverse set of interests, ranging from real-time chat applications to deep learning and e-commerce dashboards. This breadth of exploration suggests adaptability and a willingness to learn new technologies. The 'trashify' project directly aligns with the target role of Data Scientist, indicating a genuine interest in the field. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a focus on practical application and problem-solving. The 'trashify' project indicates an interest in AI/ML, which aligns with a Data Scientist role. However, without psychometric test results or interview data, a comprehensive assessment of soft skills, logical reasoning, work attitude, stress handling, and team collaboration is not possible.