Passionate Fullstack Developer and Computer Science student with a talent for building dynamic, user-friendly web applications.
DBT is a full-stack web application that allows users to explore and discover popular tourist attractions. Built using React for the frontend and Node.js/Express for the backend, the application connects to a PostgreSQL database hosted on Azure Cloud. The platform features a responsive design with Material-UI, secure JWT-based authentication, and a seamless user experience. It was deployed with Netlify for the frontend and Render for the backend, ensuring fast and reliable access to data for travelers.
This project focuses on representing the functionalities and interactions of a self-checkout system through visual diagrams and models. Additionally, a graphical user interface (GUI) has been developed using Python, utilizing the generated code from the Statecharts to create an interactive interface for users to simulate the self-checkout process.
As part of my data science course, I developed a project to explore factors that contribute to a beer's rating and predict its score. Using thousands of beer data entries, I conducted data scraping, handling, exploratory data analysis (EDA), and machine learning techniques to analyze and visualize key trends. The project culminated in building a machine learning model that predicts beer ratings based on specific features, with insights on what makes a beer highly rated.
Holon Institute of Thecnology, 2022-2025
GPA: 88/100
Please contact me through the form below or directly at niv.neu@gmail.com