Sean Ru

Georgia Institute of Technology

Georgia Institute of Technology

Courses: Intro to AI, Systems and Networks, Intro to Database Systems, Computer Networking, Database System Implementation, Machine Learning, Computer Vision, Intro to Information Visualization, Data & Visual Analytics, Social Computing

Data Analyst

I'm a full-time Data Analyst on the Customer Identity team at Capital One, part of the Analyst Development Program. I support product managers, fraud analysts, business analysts, and compliance teams in delivering a smooth, low-friction customer experience while identifying, preventing, and minimizing fraud.

I am the sole owner of two cross-functional initiatives on the team. The first is an end-to-end device monitoring tool I built that enables layered analysis of mobile device attributes. Teams use it to update policies, flag devices for blacklisting, and run daily anomaly monitoring to catch material and immaterial spikes or dips across device signals. The second is a platform migration initiative to move our team off Tableau and onto a custom-hosted D3.js solution, where I own the technical design, stakeholder alignment, and change management across multiple business teams.

Day-to-day, I develop and maintain SQL pipelines across large-scale datasets to support fraud detection, credential management, and 2FA analytics, and independently define business logic for new data requests from PMs and BAs. I also maintain Tableau dashboards supporting Credential Management, 2FA, and several fraud teams.

Data Analyst Intern

In the summer of 2024, I was a Data Analyst Intern at Capital One, where I worked on 2 projects. For the first project, I developed a Tableau dashboard that enabled internal clients to filter and analyze over two years of bankruptcy complaints data. For the second project, I collaborated closely with compliance testers, risk management, business analysts, and software engineers to define SQL and Python scripts for pulling, filtering, and displaying Complaints and COAF Account Origination data. Throughout this process, I also worked with the software engineers to give feedback to enhance the UI, document any dependencies, and suggest improvements to streamline the onboarding process of the test scripts to a new internal testing platform for future Data Analysts.

Student Researcher

I was a student researcher in the Georgia Tech Visualization Lab advised by Assistant Professor Cindy Xiong Bearfield. My research spanned two projects.

The first project focused on quantifying visual complexity in data visualizations. We developed a visualization taxonomy and rubric for labeling 2,000+ entries in the MASSVIS dataset and conducted R statistical analysis on the variation of visual complexity ratings across chart types. This work resulted in an accepted poster at IEEE VIS 2024 and an extended abstract at ACM CHI 2025.

The second, beautiVis, produced a large-scale annotated dataset of 52,836 information visualizations sourced from Reddit's r/dataisbeautiful subreddit (2012–2025). I co-led the design and execution of the end-to-end annotation pipeline: scraping and processing images with Python and BeautifulSoup, engineering multi-task prompts for GPT-4o to classify chart types and topical categories at scale, designing an annotation taxonomy mapping 600+ raw chart types to 12 MASSVIS categories, and validating label quality (Cohen's κ = 0.939). The dataset is publicly available on Hugging Face and OSF, and the work was published as a short paper at IEEE PacificVis 2026.

CS 4460 - Introduction to Information Visualization Teaching Assistant

As a Graduate Teaching Assistant for Intro to Info Vis, I supported over 100 students by conducting office hours and grading quizzes, exams, and homework. Additionally, I assisted the professor in assessing the course's integrity, high academic standards, and cohesive teaching environment.

ISYE 3770 - Statistics & Applications Head Teaching Assistant

As the Head Teaching Assistant for Dr. Tuba Ketenci, I supported approximately 400 students over two years by facilitating their understanding of course material, conducting office hours, managing email correspondence, and grading quizzes, exams, homework, and class participation. I developed comprehensive answer keys for quizzes and exams and achieved a 90% effectiveness rating in the Course Instructor Opinion Survey.

CS 3001 - Computing & Society Graduate Teaching Assistant

As a Graduate Teaching Assistant for CS Ethics, I led engaging discussions with two groups of 10–15 students on the ethical and societal implications of technology. I served as the primary contact point for these students, collaborating with the instructor and head TA to address inquiries and concerns. Additionally, I graded students' papers and exams, providing timely and constructive feedback.