I enrolled in the Department of Statistics at Chonbuk National University in 2020 and have been double majoring in Computer Engineering since 2022. Throughout my studies, I have actively participated in various projects and competitions.

In December 2023, I developed an app and web service called “Delivery Pieces” at the first Open Source Software Idea Hackathon, earning the Grand Prize. Additionally, I presented AI-based forest protection measures under the theme “Forest Protection in South Korea,” which won an Excellence Award at the SDGs (Sustainable Development Goals) Presentation Competition.

In June of this year, I participated in the Hana Power On project conducted by Hana Group, focusing on an AI-based financial health platform for middle-aged and older adults. Recently, I received an Excellence Award at a campus non-curricular program development competition.

Projects I have undertaken include investment strategies through visualization of data patterns in the past of surge and plunge stocks, delivery cost sharing apps through location-based joint orders, simple shopping mall development, and investment stocks decisions through data analysis by companies in the furniture industry.

Hobbies include listening to music, playing drums, watching movies, and driving. Currently, the average credit remains high in the 4-point range, with the goal of growing as a back-end developer in the future.

Interests
  • Artificial Intelligence
  • Backend Development
  • Data Analysis
Education
  • Statistics & Computer Engineering, 2020 - Present

    Chonbuk National University (JBNU)

📚 Summary of Self-Introduction


I am double majoring in Statistics and Computer Engineering at Chonbuk National University.
I currently maintain a GPA in the 4 range, focusing my studies on data analysis, programming, algorithms, and databases,
building a foundation in backend development and artificial intelligence.
I have experience conducting securities data analysis and web development projects using Python, R, and JavaScript.


Interests

I am interested in the following fields.



Artificial Intelligence (AI)

Utilizing AI technologies.

Cloud Computing

Data management using cloud technologies.

Data Analysis

Deriving insights through data analysis.

Social Media (Contents)

Integration with social media platforms.

Web Development

Node-based Full-Stack development.

Open Source

Contributing to open source projects.

certification

Information Processing Engineer

Information Processing Engineer

Information Processing Engineer** is a national certification that validates the essential skills and knowledge required for IT professionals. This certification assesses both theoretical and practical competencies in areas such as databases, operating systems, software engineering, networks, and information system development.

Linux Master Level 2

Linux Master Level 2

Linux Master Level 2 is a certification that verifies the foundational and intermediate understanding and management skills of the Linux operating system.

SQLD Certification

SQLD Certification

SQLD (SQL Developer) Certification is a credential that validates database design and SQL utilization skills, essential for those aspiring to become database professionals.

project

Netflix Clone Coding for Web Service Design

Netflix Clone Coding for Web Service Design

I am planning to undertake the second assignment for the Web Service Design course, which involves clone coding of Netflix.

Investment Strategy Through Financial Data Analysis and Visualization of Furniture Industry Companies date

Investment Strategy Through Financial Data Analysis and Visualization of Furniture Industry Companies date

This project aims to provide effective investment strategies to investors by analyzing the sales and net profit margins of companies in the furniture industry. Using R, we collected the financial data of companies belonging to the furniture sector and visualized it to assess the investment potential of each stock.

Investment Strategy Through Visualization of Historical Data Patterns of Rapidly Rising and Falling Stocks date

Investment Strategy Through Visualization of Historical Data Patterns of Rapidly Rising and Falling Stocks date

This project aims to establish an efficient investment strategy by analyzing the historical data patterns of rapidly rising and falling stocks. Rapidly rising and falling stocks exhibit significant volatility in the stock market, allowing investors to experience high profits or losses. In this project, we utilized R to analyze the historical data of these volatile stocks and visualize them to provide strategic investment insights.