Steven Song
McLean, VA 571-***-**** adu7gi@r.postjobfree.com
Education
University of Virginia, College of Arts & Sciences, Charlottesville, VA B.A. Expected May 2023 Double Major: Computer Science, Applied Statistics Current GPA: 3.4 Technical Skills
• Languages: Java, Python, C++, JavaScript, HTML, SQL, Django, React
• Data Analytics: Excel, Google Sheets, R, SAS, SPSS, Python, MySQL, PostgreSQL, MongoDB
• Platforms: Windows, macOS, Linux, Ubuntu
Work Experience
University of Virginia Development Hub, Software Developer Intern, Charlottesville VA May – July 2022
• Designed and implemented a web application in React with MongoDB as back-end document storage system to aid neonatal clinicians in evidenced-based antibiotic stewardship
• Utilized Bootstrap and Chart.js to build dynamic form components, graph visualizations and data tables
• Conducted daily project status meetings and weekly sprint planning meetings with five project team members XL Tech Solutions, Data Analyst Intern, Falls Church, VA July – August 2021
• Researched patent data published by United States Patent and Trademark Office (USPTO); designed PostgreSQL tables to store the weekly patent data
• Loaded patent data from the Patent Publication website to PostgreSQL database using Python; used Beautiful Soup to scrape and load HTML data into tables
• Wrote Python scripts and scheduled nightly Windows jobs to delete files after they were processed and loaded into the database
Research & Academic Projects
Statistical machine learning on Smoke Detection dataset August – December 2022
• Conducted exploratory data analysis; performed logistic regression, Linear Discriminant Analysis, and classification tree to research on classification question of what variables increase chance of a fire when smoke detector goes off
• Applied shrinkage methods, ordinary least squares, and random forest to investigate regression question of when a smoke detector goes off and a fire is observed, what variables are most indicative of elevated levels of CO2 Factorial Experimental Design on Golf Putting Accuracy April – May 2022
• Performed a factor screening experiment to study the effects of four factors on putting accuracy using R
• Analyzed which factors/interactions had the greatest effect on a golfer’s putting accuracy by building additive and interaction models
Django, Heroku “Assignment Organizer” Web Application August – December 2021
• Worked as a software developer/scrum master on a 5-person team project. Used Django and GitHub to develop a course registration website/app on Heroku
• Conducted Sprint meetings and wrote documentation reports; contributed to the Beta Testing Report
• Worked on UI HTML template designs and styling index pages to improve user experience Factors Influencing Voter Turnout in the 2016 Presidential Election February – May 2021
• Used SAS, multiple regression, graphical summaries, and various explanatory and predictor variables to complete a regression analysis about factors that most/least influence voter turnouts in Presidential elections UHS (UVA Housing Service) website design February – May 2021
• Performed user task analysis and requirements gathering; interviewed 20+ clients from UVA Facebook Housing Group to gain insight into their experiences with the housing process at UVA
• Designed and built prototypes for the UHS website which provides an all-encompassing user interface that enables UVA students to search for off-grounds housing options in the UVA Charlottesville area Volunteer and Extracurricular
Instructor, Humanitas4All, Falls Church, VA June – August 2019, 2020, 2021
• Taught Introduction to Computer Science, math, and STEM classes to disadvantaged students from local high schools
• Designed PowerPoint slides for lessons and coordinated hands-on activities Member of Sigma Alpha Lambda through the University of Virginia Chapter June 2021 – Present