Zyler Wies
Data Scientist | Web Developer | Problem Solver
Zyler Wies
Data Scientist | Web Developer | Problem Solver
Projects
Yu-Gi-Oh! E-commerce Platform
A full-stack web application built with Node.js, Express, and MySQL, designed to simulate an online shopping experience. Users can register, log in, browse products, and manage a shopping cart. The app features JWT-based authentication, organized RESTful routes, and a responsive frontend using static HTML and JavaScript. It showcases secure user flows, clean backend architecture, and practical integration between frontend and backend systems.
Stock Price Prediction Project
Built a linear regression model to predict stock prices using historical S&P 500 data. Cleaned and preprocessed data, engineered features, and evaluated performance using mean squared error and visualizations. Focused on select companies like COST, DIS, and UBER.
Automating Job Applications with AI
Automating Job Applications with AI
When applying to multiple positions, tailoring your resume and outreach emails can be time-consuming. To streamline this process, I built a pipeline that automatically scrapes job listings, compares them against my resume, and generates personalized outreach emails.