👋 Hi, I'm Youngwoo Seo

Statistics-based Data Analyst & AI Agent Builder

I turn complex data into practical insights, predictive models, and automated AI workflows.

Hi! I'm Youngwoo Seo, a statistics major interested in turning complex data into practical insights, automated workflows, and user-centered AI services.

I have worked on various projects across machine learning, recommendation systems, time-series forecasting, anomaly detection, and AI Agent automation. Rather than focusing only on model performance, I care about how data can be connected to real-world decision-making, service design, and business impact.

Recently, I have been especially interested in:

• Building AI Agents with workflow automation tools such as n8n, MySQL, OpenAI, Kakao Skill, and Gmail
• Designing data-driven services for finance, small business support, fraud prevention, and public problem-solving
• Developing machine learning models for time-series, recommendation systems, anomaly detection, and predictive analytics
• Communicating analytical results clearly through reports, dashboards, presentations, and storytelling

Feel free to reach out for a coffee chat! ☕

Data Analyst / Data Scientist / AI Agent Developer

I aim to become a data professional who can bridge the gap between statistical analysis, machine learning modeling, and real-world service implementation.

Korea University Master's Degree in Statistics 'Sep 2025 ~ Aug 2027(Expected)'

Competition Project · AI Agent · n8n · MySQL · OpenAI · Workflow Automation

An ongoing competition project focused on building an AI Agent workflow that connects user input, database retrieval, LLM-based summarization, and automated report delivery.

• Designed an end-to-end workflow from user input collection to personalized report generation
• Built structured database tables to manage user cases, rules, and required information
• Automated report generation and message delivery using LLM and external APIs
• Focused on transforming complex information into user-friendly guidance

Keywords: AI Agent, workflow automation, MySQL, LLM, report automation

Ongoing Project · Anomaly Detection · Log Analysis · Machine Learning

An ongoing project focused on detecting abnormal bot behavior in e-commerce environments.

• Studying abnormal traffic patterns that may affect service performance and system efficiency
• Exploring log-based and behavior-based approaches for anomaly detection
• Conducting exploratory data analysis and model development
• Preparing project materials for technical presentation and collaborative research

Keywords: anomaly detection, bot detection, e-commerce data, log analysis, machine learning

Lab Research Project · Machine Learning · Time-Series · Financial Data Analysis

An ongoing lab research project focused on predicting stock option-related outcomes using financial and firm-level data.

• Conducting feature engineering using stock, option, and company-level variables
• Comparing machine learning models under a time-series validation setting
• Exploring predictive modeling approaches for financial derivatives data
• Focusing on robust out-of-sample evaluation with limited time-series observations

Keywords: option prediction, financial data analysis, time-series modeling, machine learning, lab research

RAG · Time-Series · Finance · LLM

A financial chatbot using time-series stock data and finance news.

• Developed a chatbot based on TimeRAG methodology
• Used finance news data and stock price data to provide context-aware responses
• Explored the connection between market events, textual information, and stock movements

Data Sources

• DuckDuckGo finance news data from 2023 to 2024
• NASDAQ closing price data from Yahoo Finance

Keywords: TimeRAG, financial chatbot, stock market data, news retrieval

LLM · RAG · OCR · Gradio · TTS

A Korean history delivery chatbot using historical text data and textbook OCR.

• Built a chatbot using the Annals of the Joseon Dynasty and Korean history textbook data
• Applied word embedding and Retrieval-Augmented Generation
• Implemented an interactive interface with Gradio and TTS
• Focused on making historical information more accessible and educational

Keywords: RAG, Korean history, OCR, chatbot, educational AI

Recommendation System · Graph Neural Network · Python · API Data

A recommendation system that connects movies and books through graph-based relationships.

• Built a recommendation pipeline using movie metadata, book ratings, and library API data
• Designed a multi-step recommendation flow from movie preference to book recommendation
• Used Graph Neural Network-based modeling to reflect relationships among users, movies, and books
• Collaborated with non-technical team members by explaining model structures and data processing clearly

Data Sources

• Library Information Naru API
• Aladin book rating data
• Naver movie title, rating, and synopsis data

Keywords: GNN, recommendation system, explainable recommendation, collaborative project

Reinforcement Learning · Time-Series Forecasting · Finance

A system trading project using reinforcement learning and time-series forecasting.

• Applied A2C reinforcement learning algorithm for trading strategy optimization
• Used DLinear for time-series forecasting
• Collected domestic stock price data and minute-level trading data
• Explored systematic trading strategies based on quantitative signals

Data Sources

• FinanceDataReader domestic stock data
• Creon API minute-level stock data

Keywords: reinforcement learning, A2C, DLinear, systematic trading

Big Data Analysis Union Club Aug 2025 ~ Jul 2026, Expected

• Studying machine learning, deep learning, and data analysis
• Conducting projects on anomaly detection and e-commerce bot detection
• Collaborating on data-driven research and presentation projects

Big Data Analysis Union Club Jan 2024 ~ Feb 2025

• Participated in machine learning and deep learning studies
• Conducted projects in LLM, recommendation system, and financial modeling
• Developed team-based analytical projects from data collection to presentation

Project-based AI/Data Academy Jul 2024 ~ Aug 2024

CNN · Image Similarity

• Developed an image classification model using convolutional neural networks
• Diagnosed image similarity through feature extraction and model-based comparison

Transformer · OpenSmile · Audio Classification

• Built an audio classification model using OpenSmile features and Transformer architecture
• Focused on supporting sound recognition for hearing-impaired users

• Data Analysis & Statistical Modeling
• Machine Learning & Predictive Modeling
• Recommendation System
• Time-Series Forecasting
• Financial Data Analysis
• AI Agent & Workflow Automation
• RAG-based Chatbot
• Anomaly Detection
• User-centered AI Service Design

Thanks for visiting my GitHub! 🚀