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INTRODUCTION

Hi! My name is Vu Nguyen

I'm a software developer deeply interested in data engineering, currently working towards my Bachelor's in Computer Science at the University of South Carolina. My journey so far has been exciting, filled with hands-on projects that have honed my problem-solving skills. Fluent in both English and Vietnamese, I'm eager to dive into data-driven projects and make meaningful contributions wherever I go.

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Intro

ACADEMIC

Skills

Background

I'm currently completing my Bachelor's degree in Computer Science at the University of South Carolina, where I've had the opportunity to dive deep into both the theoretical and practical aspects of software development and data engineering. My coursework spans a broad spectrum, from programming fundamentals in Java and C++ to advanced topics like machine learning, equipping me with a robust foundation to tackle complex problems in technology.

Skills

My skill set includes advanced knowledge in C++, Java, Kotlin, JavaScript, and Python, as well as experience with data engineering tools like Apache Spark and Hadoop. I'm also familiar with machine learning libraries like TensorFlow and PyTorch, and have a strong foundation in data structures and algorithms. My experience with web development includes working with React, Node.js, and Express, and I'm comfortable with both SQL and NoSQL databases. I'm also familiar with cloud platforms like AWS and Firebase.

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PROJECTS

Project 1 Image

CAMPERA

  Web Application

Language

JavaScript, HTML, CSS

Description

Campera is a web application that helps users find the perfect camping spot. It uses the Google Maps API to display nearby campgrounds and allows users to filter results based on location, amenities, and more. The app also includes a recommendation system that suggests campgrounds based on user preferences and past activity.

Project 1 Image

SCHEDULER X

  Android App

Language

JavaScript, CSS

Framework

React, Node.js, Expo, Firebase

Description

Scheduler X is an Android app that helps users manage their time more effectively. It includes features like a calendar, to-do list, and habit tracker, and uses machine learning to provide personalized insights and recommendations. The app also includes a social feature that allows users to connect with friends and family and share their progress.

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