I'm a student at the School of Business at Kyung Hee University with an interest in Business Data Analysis

• AI Presentation Practice Application: A project to develop a web application for practicing eye contact and speech pace during real interviews. I was responsible for developing the audio features and the frontend. (GitHub Repository)
• Kyung Hee University Restaurant Recommendations: A project to calculate restaurant ratings on Kyung Hee University's Global Campus using an MLP (Multi-Layer Perceptron) and to develop an algorithm that recommends similar category restaurants. I was responsible for MLP modeling and visualizing the results using Streamlit. (GitHub Repository)
• Kyung Hee University Dormitory Roommate Recommendations: A project to collect data from Kyung Hee University's Everytime platform on roommate searches and develop an algorithm that recommends roommates based on similarity. I was responsible for developing the recommendation algorithm as well as both the frontend and backend. (GitHub Repository)
• Wanted Job Postings and Trend Analysis: A project to develop a Chrome extension that collects information from the job recruitment site Wanted and visualizes the required skills based on job postings. I was responsible for developing the algorithm and the backend. (GitHub Repository)
• Churn Prediction Project for a Telecom Company: A project to analyze which features have a significant impact on churn rate and identify which types of customers are more likely to leave the telecom service. (GitHub Repository)
• Database Construction Project: An e-commerce database construction and web development project. I connected the database to the web using MySQL and PHP. (GitHub Repository)
• Cheonan City Policy Proposal Project: A project to propose tenant farming policies to Cheonan City. I was responsible for creating the dashboard and organizing the data. (Tableau Link)
• Chatbot Development Project: Developing a chatbot for data-driven business strategies. Utilizing the Llama3 LLM and RAG techniques to enable effective responses. (GitHub Repository)
• Comparative Analysis of Yesan Market vs. Seomun Market: Conducting a comparative analysis of Yesan Market and Seomun Market. This project examines the effectiveness of influencer marketing strategies for revitalizing traditional markets, based on OD/STAY data as well as YouTube and Naver Blog data. I was responsible for crawling, network analysis, and OD/STAY analysis. (GitHub Repository) (Tableau Link)
• Korean Series Social Network Analysis: Analyzing the social network of the 2024 Korean Series, focusing on the YouTube channels of KIA and SAMSUNG. This project examines the changes in social networks and the community formation process before and after the Korean Series. (GitHub Repository)
• Dashboard Creation for Mega vs. Compose Comparative Analysis: Developing a dashboard to compare Mega Coffee and Compose Coffee from both consumer and investor perspectives. I was in charge of creating the review dashboard. (Tableau Link)