Computer Science

Xuezhou Wen

New York, New York ***** • 814-***-**** • ******@***.*** • https://www.linkedin.com/in/xuezhou-wen-6a5827157• https://github.com/xuezhou1998

QUALIFICATIONS PROFILE & POSITIONS INTERESTED

• Software Engineer: Familiar with entire software engineering process from design and development to testing and deployment.

• Data Analyst/Data Scientist: Knowledge of research methodologies, statistical modelling techniques, big data tools, and machine learning tool.

• Key Strengths: Quick learner to new technologies and tools. Superior teamwork and communication skills. Detail oriented. Core Technologies:

Languages: Python, Java, C/C++, PHP, JavaScript, Ada, Scala Environments: Spring Boot, Linux, Windows

Software & Tools: MySQL, Tensorflow, Keras, Hadoop MapReduce, Pig, Hive EDUCATION & CREDENTIALS

Master of Science in Computer Science, GPA: 3.33/4 (Expected in June 2022)

New York University, Courant Institute of Mathematical Sciences Relevant Coursework: Fundamental Algorithms, Programming Languages, Operating Systems, Advanced Database Systems, Networks and Distributed Systems, Natural Language Processing, Big Data Application Development

Bachelor of Science in Computer Science, GPA: 3.31/4.00 (June 2016 to June 2020)

The Pennsylvania State University, University Park Relevant Coursework: Computation Theory, Calculus & Vector Analysis, Computer Organization & Design, Object Oriented Programming, Systems Programming, Discrete Mathematics for Computer Science, Data Structures & Algorithms, Introduction to Probability Theory & Mathematical Statistics

EXPERIENCE HIGHLIGHTS

ENGINEERING INTERNSHIP Dr. Yufang Tang, a Postdoctoral Fellow at Concordia University in Canada (May 2020 – September 2020) Conducted extensive research and analysis for Diagnosis of Fundus Diseases project based on Deep Learning while Tensorflow and Keras and working with Dr. Yufang Tang a Postdoctoral Fellow at Concordia University in Canada. Researched the exploration of Deep Learning model training methods powered by Data Augmentation and authored a paper on the neural network training method dealing with imbalanced and insufficient retinal image dataset. Research Internship - Foshan Chipeye Microelectronics Co., Ltd (May 2017 – July 2017) Learned the fundamentals of software engineering and conducted modular programming and testing using C/Vivado for the project team in the research, design, and development of Smart Home Information Security Dedicated Chip. RELEVANT PROJECTS

Employee Management System (PHP)

Built a PHP-based hospital employee management system to ensure optimal employee scheduling after taking maximum work hours, vocation, professional qualification, hourly salary into consideration, supported by MySQL database. Multi-thread MapReduce API / HTTP Web Proxy / Cache Design Space Explorer (C/C++) Developed a multi-thread MapReduce API against race condition, an HTTP web proxy to store web objects, a cache load and store simulator, and a cache design space explorer to simulate the ideal performance of hypothetical cache designs. Python Neural Network Program / Multifunctional Scientific Calculator / Intelligent Spam Email Filter (Python & Machine Learning) Designed a Python-based neural network program to trains a Convolutional Neural Network for Diabetic Retinopathy Classification; built a multifunctional scientific calculator with formula and algebra processing capability. Created an intelligent spam email filter based on Laplace-smoothed log probability; collected search algorithm implementations, solving puzzles including N-Queen, Lightsout, linear disk, Domino, and so on. Java HDFS MapReduce Program / Flight Booking System / Drawing Board Development (Java, Hadoop, Pig, Hive) Developed a Java HDFS (Hadoop Distributed File System) MapReduce program performing PageRank Algorithm. Created a flight booking system with capacity to handle exceptional weather and scheduling conditions, with MySQL database support. Executed extensive data research and analysis the effect of COVID-19 on rental prices across the US leveraging Hadoop MapReduce, Pig, and Hive.

Architected a drawing board supporting features, including stroke modification, different shapes, undo / redo, and other painting functionalities.

C#/Unity Project

Developed an Educational Platform for Cybersecurity in Cyberphysical Space, which provides students with a multi-player game environment to learn Cybersecurity knowledge as well as allowing teachers to monitor and track students’ progress. ADDITIONAL INVOLVMENTS

Advanced Group of 2019 CodePSU Coding Competition

Spearheaded a 3-member team and solved two algorithm problems in the Advanced Group of 2019 CodePSU Coding Competition. BoeingHackathon Spring 2019

Created a communication platform with a synchronous drawing board, using Java and JavaScript while participating in the BoeingHackathon Spring 2019.

Contact this candidate