Chae Yeon Ryu

Product Manager

Led API certifications and network integration with AT&T, optimizing porting, activation, and feature setup for 10k+ users, leading to a 30% faster onboarding process and $4M in annual revenue within the first 3 months.

Defined OKRs and managed product roadmap for postpaid services, implementing dynamic throttling that reduced operational costs by 25% through predictive analytics and tracking.

Developed a data-driven call routing strategy and negotiated third-party cost optimizations, resulting 30% savings on international call expenses while enhancing call quality, uptime, and cutting subscriber churn from 73% to 35% in a year.

Revamped SMS onboarding flow & top-up feature, leading to a 30% increase in user adoption and a 12% boost in top-up revenue by incorporating UX improvements driven by customer insights and market trends.

Software Product Analyst

Let post-launch issue resolution by analyzing VOC data, Samsung Community insights, and Reddit discussions, implementing targeted fixes that increased CSAT scores by 20%.

Designed carrier-compliant Quality KPIs (e.g. UX performance) for consumer electronics projects, ensuring a 98% stability rate for the S23-S24 series launch..

Drove automation improvements in Android OS testing, reducing testing cycles by 25% and ensuring quicker product releases.

Managed software upgrades in collaboration with MNOs (e.g. Verizon), executing 5+ carrier-specific product updates per quarter across devices, reducing post-release defects by 30%.

Quantitative & Technology Analyst

Led UX research & feature definition for an FX options trading platform, gathering 200+ application requirements through competitive analysis & trader interviews.

Designed pre-trade check UI aligned with trader workflows, improving trading efficiency by 25%.

Drove agile adoption, improving spring velocity by 30% by integrating JIRA & Confluence into project workflows.

Assistant Product Manager

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.

Georgia Institute of Technology

Carnegie Mellon University

University Honors

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