Eric Yi Email & Phone Number

Redmond, Washington, United States

• Worked in a team of three with the ESS-IT department of BAE Systems to reduce ticket routing errors and improve efficiency of their IT ticketing system
• Synthesized information collected from stakeholder interviews, survey, and analysis of historic ticketing data to identify problems with the current system and make recommendations for improvement

• Served as Teaching Assistant for HACS101: Applied Cybersecurity Foundations
• Assisted students in learning Bash scripting and fundamental cybersecurity concepts such as networking and firewalls

College Park, Maryland, United States

• Served as Teaching Assistant for HACS200: Applied Cybersecurity Foundations II
• Provided feedback on technical, experimental design, and presentation aspects of student research projects

United States

• Created case management portal for Edu-Futuro with React.js and Firebase

United States

• Re-created chapter website with React.js, CSS, and Typescript to improve user experience and webpage responsiveness

United States

• Facilitated weekly meetings with a team of eight designers and software engineers to monitor project progress in an agile development environment
• Established project scope and timeline, defined sprint goals, and delegated tasks within the team using a Kanban board
• Communicated professionally with the client about progress updates and project expectations

• Built new component in integrated cyber tool using Docker, RabbitMQ, and the Python Gitlab API
• Designed and constructed unit tests and a unit testing framework for the new component using Pytest
• Implemented testing and validation framework as a CI/CD pipeline on Gitlab
• Created API for interacting with cyber tool using FastAPI

• Worked as a data analyst and student consultant with Wodify's ticketing team to evaluate historic ticketing data for trends between Service Level Agreement (SLA) compliance and ticketing characteristics such as ticket.
• Employed Numpy, Pandas, Matplotlib, Plotly, SciKitLearn libraries in Python to clean, process, and visualize ticketing data
• Applied natural language processing (NLP) techniques to process subject line data
• Created logistic regression model and simple neural network to predict SLA compliance of a ticket with nearly 80% accuracy

College Park, Maryland, United States

• Created Java scripts that utilized Ghidra API to reverse engineer Windows Portable Executable (PE) files and extract header and file section metadata
• Designed Python analytic using Pandas and Plotly to process and visualize data extracted from PE file sections
• Developed pipeline to transform import function data extracted from PE files into a feature set for clustering algorithms such as HDBScan to categorize PE files based on their functionality
• Employed machine learning algorithms such as decision trees and random forest classifiers to classify PE files and help define normality within different subsets of PE files

United States

• Improved GUI for displaying water rebate savings statistics for the California Data Collaborative using Bootstrap, HTML, and JavaScript

Frederick, Maryland, United States

Interned in the Advanced Biomedical Computational Science Lab. Trained Python deep learning convolutional neural networks to perform tumor image segmentation with greater than 90% accuracy and cancer tissue classification with up to 90% accuracy. Published research results at https://www.biorxiv.org/content/10.1101/820563v1

Frederick, Maryland, United States

Interned in the Advanced Biomedical Computational Science Lab. Trained Python deep learning convolutional neural networks to segment stromal cells in cancer tissue with up to 80% accuracy. Learned more about artificial intelligence and machine learning algorithms.

Bachelor Of Science - Bs, Computer Science, Applied Mathematics; Aces Cybersecurity Minor

Activities and Societies: Cybersecurity Club (CSEC), UMD Hack4Impact Chapter• Advanced Cybersecurity Experience for Students (ACES) Honors.

Education record

Exchange Student for the Spring ‘24 semester in the School of International Liberal Studies (SILS)

Hs Diploma, International Baccalaureate Diploma

Activities and Societies: Computer Science Team (Captain), Math Team (Captain), Math Honor Society, Science National Honor Society.