Data Python

Yang Chen

917-***-**** § *****@**********.*** § 1808 N Quinn St., Arlington, VA 22209

https://www.linkedin.com/in/yangchen1995/ § US Citizen

OBJECTIVE: Seeking any full-time opportunity in the field of Software Development that starts in May 2021.

EDUCATION

Master of Science in Computer Science (GPA: 3.5/4.0)

August 2019 - May 2021 Expected

Georgetown University Massive Data Institute Scholar

Georgetown University, Washington, DC

Bachelor of Science in Computer Science (GPA: 3.42/4.0)

Russell H. and Sandra R. Herman Trustee Scholarship

August 2014 - May 2018

Penn State University, University Park, PA

Relevant Courses: Data Analytics & Visualization w/ Python; Data Structure & Algorithms; Neural Networks w/ Deep Learning; System Programming w/ C; Database Management System; OOP Programming w/ Web Applications;

TECHNICAL SKILLS

Programming Languages: Python, JavaScript, C/C++, HTML, CSS, Markdown

Skills: Flask, Socket.IO, SQL, Redshift, DB2, PostgreSQL, RDBMS, Pandas, Scikit-Learn, Plotly, GCP, JSON

Environment: Ubuntu, Windows, Shell, JMP, Spotfire, Docker, Mesosphere DC/OS, Heroku, Git, Office

WORK EXPERIENCE

Research Assistant – Georgetown University, Washington, DC

September 2020 – Present

Work on building the Data Crawling Infrastructure/Pipeline for Charter Schools and Segregation by Educational Ideology.

A cross-institutional project between the Massive Data Institute at Georgetown University and UC Berkeley.

Data Engineering Intern – Western Digital, San Jose, CA

May 2020 – August 2020

Designed middle-layer scripts to verify the correctness of big data migration between different databases.

Developed a Data Aggregation Platform to query, merge, and preprocess large-scale data sets easier and faster.

The Data Aggregation Platform helps the team to reduce the time to acquire and process big data from hours to minutes.

The Platform got wonderful feedback from the manager and mentor, and many teammates use the platform in daily work.

Constructed the expertise about SDLC and MVC for the development of any platforms, software, and tools in the team.

Technical Stack: Python, Flask, JavaScript, Socket.IO, Bootstrap, Docker, Mesosphere DC/OS, SQL, Redshift, DB2, RDBMS, Pandas, Scikit-Learn, Data Visualization, Plotly, JMP, Spotfire, Markdown, HTML, CSS, JSON, Bitbucket/Git, Artifactory

Software Engineer – INF Robotics Inc., Fairfax, VA

September 2019 – May 2020

Built the Web-App to communicate with Healthcare robots and record the information of caregivers and patients.

Implemented features for the control layer of the Web-App to communicate with functions of the robotic layer.

Processed communication data for the development of the entire Web-App, the database, and Healthcare robots.

Deployed the Web-App in the production and clients are using the features, and clients gave good feedback.

Technical Stack: Python, Flask, JavaScript, Socket.IO, Heroku, SQL, PostgreSQL, Data Visualization, Plotly, Arduino

Teaching Assistant

Database Development & Mgmt. / Managerial Statistics – Graduate Course

Georgetown University, Washington, DC

Calculus I & II / Applied Statistics in Science

Penn State University, University Park, PA

Directed professional knowledge to help students solve questions and explained the curriculum in the group.

Held study sessions to tutoring students, and assisted professors in preparing the classroom and curriculum.

RELEVANT PROJECTS

USA City Energy Analytics

August 2019 – December 2019

Discovered previously unknown patterns and trends from collected data using advanced data mining methodologies.

Developed machine learning algorithms for multi-classification using python to make the data training of a model.

Created a final-result web page - http://chenyang.georgetown.domains/city_energy_analysis/index.html

Skills: Team skills, Python, Pandas, JSON, Scikit-Learn, Machine Learning, Clusters, Data Visualization, EDA

ZibiDB Database Management System

August 2019 – December 2019

Designed a database management system lite in Python that is following SQL syntax and pattern.

Implemented foundational features of a relational database with SQL syntax and optimized with B+ tree data structure.

Combined features to a database management system, fixed compatible problems and created an execution package.

Skills: Team skills, Python, SQL, B+ Tree

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