Master's Student in Computer Science

ZHENYU ZHANG

***-* **** ** **, Atlanta, GA j 720-***-**** j z ******@******.***

PROFILE

Creative and solution-oriented Master’s student in Computer Science GitHub: https://github.com/zhzhenyu

EDUCATION

Georgia Institute of Technology, Atlanta, GA Dec. 2021 M.S. in Computer Science GPA: 3.8

Selected coursework: Database Systems Concepts and Design, Machine Learning for Trading, Software De- velopment Process, Intro to Analytics Modeling

In progress: Intro to Information Security, Advanced Internet Computing Systems and Application Devel- opment, Interactive Robot Learning, Intro to Graduate Algorithm Colorado School of Mines, Golden, CO Dec. 2020

Ph.D. in Chemical Engineering GPA: 3.6

Central South University, Changsha, China Jun. 2016 B.S. in Chemical Engineering GPA: 3.7

PROJECTS

Warehouse management web portal Georgia Institute of Technology, Spring 2019 Course: Database Systems Concepts and Design

Led a group of four, designed and implemented a web app using WAMP as the solution stack for a superstore data warehouse with over 150,000 data entries

Stock trading strategy Georgia Institute of Technology, Summer 2019 Course: Machine Learning for Trading

Forecast and optimized stock trading strategies based on over 4,000 daily prices of stocks using machine learning techniques such as decision tree, regression, and Q-learning, etc. Word game app development in Android Georgia Institute of Technology, Fall 2019 Course: Software Development Process

Coordinated with a team of four as both developer and QA manager, successfully designed and built a word game using Android Studio in JAVA, performed white and black box testings ENGINEERING AND TECHNICAL SKILLS

Full stack development: LAMP, WAMP

Front end languages: HTML, CSS, JavaScript

Back end languages: Python, JAVA, PHP

Scienti c computing languages: MATLAB, R

Database: MySQL

Version control: Git and GitHub

Mobile application development: Android Studio

Software testing: Junit testing

Tools: IntelliJ IDEA, PyCharm, R Studio, Jupyter, Anaconda Analytical modeling: Design of experiments, Imputation methods, Data preparation and forecast, Prin- cipal component analysis, Change detection, Variable selections, Regression modelings, Model validation, Stochastic simulations, Optimization techniques, Classi cation, Clustering, Machine learning Administrative and communication: Organization and time management, Business analysis, Budget preparation, Technical writing including peer-reviewed paper and project reports, Supervision and training of eight undergraduate and graduate students, Communication in both leadership and team settings

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