Xiaohang Zou

917-***-**** ac6l3g@r.postjobfree.com

github.com/xzou000 www.linkedin.com/in/xiaohang-zou/

Education

City College of City University of New York Graduated: Spring 2018

Bachelor of Science in Computer Science

Relevant Courses

Algorithms Data Structures Artificial Intelligence

Software Design Software Engineering Methods Language Paradigms

Intro to Machine Learning Intro to Data Science Database System

Skills

Programming: Python, C++, Java, JavaScript, Racket, HTML, VDHL, CSS, SQL

Technologies: Jupyter Notebook, Eclipse, Scheme, Windows, Linux, Git/GitHub, MySQL, Angular 5, Hadoop

Spoken Languages: Chinese (native Mandarin speaker, intermediate reading/writing)

Technical Experience

CUNY Tech Prep, JavaScript

Student Software Developer June 2017 – Present

Selected for a competitive year-long full stack JavaScript training program

Learn in-demand technologies like React, Node + Express, and PostgreSQL and industry best practices for design, implementation, and deployment such as MVC, version control with Git/GitHub, agile & Scrum with Slack, test driven development (TDD), and CI/CD

CUNY EHOS Assistant, JavaScript

Web Developer Spring 2018

Made a website for CUNY Environmental Health and Occupational Safety department, which can help them to manager the appointments for chemical waste-up and lab security observation

Built up with front-end, Angular 5 and back-end, NodeJS + Express + MongoDB

ArtSwap, JavaScript

Web Developer Spring 2017

A collaborate/for-hire web application that connects interested artists with possible employers and other artists

Built up with Node + Express, and PostgreSQL that includes Model, Views, Controller

BigData Project, Python - Pyspark

Data Analysis Spring 2018

An data analysis project, which find the correlation between Taxi and Uber datasets and predict future number of passenger based on boroughs and date

Used Hadoop in Data HUE of Center For Urban Science + Progress(CUPS) service to process and analyze Taxi and Uber data.

Data Analysis, Python Fall 2017

Analyzed an online dataset - Human Resource Analysis – to answer two specific question

Coded in Jupyter Notebook, cleaning given data into digital values, training and testing, finally, using the algorithm given by Scikit-learn to estimate and predict

Contact this candidate