HUAYUE LU

Graduate Student in Computer Science and Engineering

Email: ad0e6t@r.postjobfree.com Phone: 959-***-**** LinkedIn: www.linkedin.com/in/huayuelu666/ SUMMARY

Computer Science Graduate Student specializing in Coding, Machine Learning, and Data Analysis. Proficient in Python and skilled in various data analysis tools and platforms. Adept at applying machine learning techniques to complex data sets. SKILLS

• Programming Languages: Python (Proficient), lisp, Matlab

• Operating Systems: Linux, Windows, MacOS

• Expertise: Data Analysis, Machine Learning, Algorithms, Data Visualization

• Web Development: Full Stack Development, MERN Stack (MongoDB, Express.js, React, Node.js) EDUCATION

Graduate Student in Computer Science and Engineering University of Connecticut (UCONN) Storrs, CT, USA Expected Graduation: Dec 2024

GPA: 3.43/4.0

Relevant Courses: Machine Learning, Advanced Algorithms, Data Visualization, Data Analysis, Big Data Analytics Non-Degree Student in Computer Science and Engineering University of Connecticut (UCONN) Storrs, CT, USA Sep. 2021 - May. 2022

GPA: 3.60/4.0

Relevant Courses: Algorithms, Data Structure, Programming M.S. in Political Science Sichuan University (SCU) Chengdu, China Sep. 2015 - May. 2018

GPA: 3.60/4.0

PROJECTS

Full Stack Shopping Web Application In Progress

• Designed and developed an engaging user interface using ReactJS, incorporating modern features, hooks, and functional components.

• Created a robust backend API with NodeJS and Express, implementing RESTful API endpoints for seamless data communication.

• Employed MongoDB as the database system, optimizing data storage and retrieval processes for efficient performance.

• Implemented user authentication and authorization mechanisms to ensure secure access to the shopping platform.

Movie Data Analysis and Visualization February 2023 - May 2023

• Technologies Used: Python, Data Cleaning, Data Visualization, Statistical Analysis

• Summary: Analyzed a dataset of 5000 movies using Python and statistical analysis techniques. Cleaned and visualized data to reveal insights about movie release trends, popular genres, and the relationship between budgets and box office revenue. Gained valuable skills in data analysis and visualization PUBLICATIONS

• Xinran Zhou and Huayue Lu. “Improved On-Device Hyperdimensional-Computing-Based Image Segmentation.” 2023 IEEE the 3rd International Conference on Intelligent Technology and Embedded Systems(ICITES). IEEE, 2023