Chae Yeon Ryu

New Jersey, USA · (412) 577-8406 ·

Results-driven Technical Analyst with a proven expertise in 5G/4G mobile technologies. Skilled in coordinating cross-functional projects in software development, with a focus on quality assurance and software hardware integration. Eager to contribute energy, enthusiasm, and emerging skills to a dynamic team.


Software QA Analyst

Samsung Electronics America

Developed Quality KPI and strategies for 80+ consumer electronics projects (Galaxy Smartphone, Tablet, and Watch series) in an Agile & Waterfall environment.

Managed 300+ software/hardware issues using Software Development Life Cycle methodologies with cross-functional teams.

Improved and executed 200+ 4G/5G network and application test cases in compliance with carrier requirements, 3GPP specifications and new Android OS versions.

Analyzed Voice of Customer on 50+ software projects to identify market needs, assisting HQ project leaders to design new project requirements.

Facilitated eSIM implementation with global mobile plan management and carrier officials such as VZW and TMO.

Coordinated international teams for SW upgrade and pre-test, accelerating product delivery to Mobile Network Operator (MNO) representatives by 25%.

July 2022 - Present

Quantitative & Technology Analyst

Royal Bank of Canada Capital Market

Analyzed competitive FX options trading GUI to develop schema and 200+ application's requirements.

Developed Pre-Trade Check UI design note aligned with traders' needs and API transactions between important attributes in Orchestration.

Prioritized the product backlog with development, business, and S&T teams, ensuring traders could use new features to make better decisions about options trading and underlying instrument.

Facilitated sprint reviews and productivity by 30% while integrating Jira and Confluence into project workflow.

June 2020 - August 2020

Assistant Program Manager

Metadium, Coinplug

Conducted market research to identify customer needs for blockchain technology in video game industry.

Collaborated with engineering, design, and business teams to develop program roadmap and strategies, resulting in a partnership program with Unity in 2019 Q1.

Managed 6000+ members on Metadium community and improved user activation rate by 130% with interactive customer interviews.

Designed and implemented A/B testing to optimize user experience via bounty program and token airdrop, improving conversion rate and introducing 3000+ new participants.

Defined go-to market strategies in stakeholder meetings with cross-functional team and external vendors.

Created prototype presentations to showcase product features to investors and partners at first official meetup.

June 2018 - August 2018


Georgia Institute of Technology

Master of Science
Computer Science

Carnegie Mellon University

Bachelor of Science
Double Major in Mathematics, Statistics and Machine Learning
Minor in Business Administration

University Honors

May 2022


Program Management
  • Agile / Waterfall / Kanban
  • SDLC
  • Product Mapping
  • A/B Testing
  • Scrum
  • JIRA
  • Confluence
  • PLM
  • MS Office
  • Git / GitHub

  • Python (Numpy, Pytorch)
  • R
  • SQL
  • JavaScript (Node.js, Express.js)
  • HTML
  • CSS (Bootstrap)
  • LaTeX
  • AWS
  • Linux
  • Terraform
  • CI/CD


AWS Cloud Resume

Built a static resume website using S3, IAM roles/policies, Lambda, DynamoDB table, API Gateway, Cloudfront Distribution, Route53 configuration, and ACM Certificate

Used Terraform Infrastructure as Code (IaC), and GitHub Actions for CI/CD

Used Pytest and Cypress for unit/end-to-end testing

Personal Website

Built a static website using HTML/CSS/JS and hosted on AWS using S3, CloudFront, AWS Certificate Manager and Route 53

QuickCash Web App

Built a web application where users can post and find today's part-time jobs

Used HTML, CSS, JS, Node.js, Express, MongoDB and Mongoose

Applied Deep Learning (Graduate Level)

Built feedforward neural networks using Short-Term Fourier Transform (STFT) and set up GRU/LSTM with CTC loss for speech recognition with 85% accuracy on Kaggle

Built CNN model for face classification and verification with 74% and 95% accuracy respectively on Kaggle

Used Pytorch with Torch CUDA to trian, validate and test models

CMU Spring 2022 Scheduling

Scheduled 504 courses for spring semester at CMU using greedy algorithm and linear programming

Cleaned and structured 2204 courses (all sections, recitations, cross-listing) down to 504 courses using Python and SQL in R

Mapped out classes and schedules with constraints such as cross listing, classroom availability, professors' availability, multiple sections/recitations, and shortest path

Applied Text Mining (Graduate Level)

Analyzed Amazon reviews on Apple Airpods and alternative earbuds to trace a consumer behavior using sentiment analysis, bigram analysis, collocational networks, and predictive models in R

Extracted, transformed and loaded 100 Amazon review script of 10356 words (tokens) to be used in analysis

Play With Mario Beats!

Built a python OOP based music-themed action video game that challenges a player's sense of rhythm with player's own music