# Adjunct Researcher    
(겸임/자문 연구원)

![Image](https://upload.cafenono.com/image/slashpagePost/20241130/150639_VdJCZMlwmNyRYADsYq?q=80&s=1280x180&t=outside&f=webp)

<ABOUT>

▶ Education

Hanyang Univ(Seoul), Department of Industrial Engineering, Master

CHA Univ(Pocheon), Department of Business Administration and Data Science, Bachelor

- Learing Field

Machine Learning and Deep Learning, Natural Language Processing, Multi-Modal AI, Time Series Analysis

- Study Plan

Studying more deeply about Time series models and deep learning (LSTM,RNN)

<Career>

| Conferences | Heeyeon Cho, Taegu Seo, Dae Keun Park, "2020 추계학술 발표대회", 한국인터넷정보학회, Yeosu, Korea (Oct. 2020) - Oral |
| --- | --- |
| Awards and Honors | Public Utilities for the Installation of Electric Vehicles and Electric Wheelchair Charging Station , Seoul Post Office Public Service Competition, Korea (Sep. 2021) |
|  | Youth data project evaluation Excellence Award/"Terms and conditions analysis system” , KDATA, Korea (Nov. 2023) |
| Projects | “ Public Utilities for the Installation of Electric Vehicles and Electric Wheelchair Charging Station in Post Office Parking Lot” , Seoul Post Office Public Service Competition, Korea/ Data Analysis and Visualization through KNN Algorithm (Jun. 2021 ~ Sep. 2021) |
|  | “Development of next-generation ship rental system app between ship owners and users”, Korea Ocean Business Corporation, Korea/ ARIMA analysis to predict the number of users on the site (Apr. 2022 ~ Aug. 2022) |
|  | "Terms and conditions analysis system” , KDATA, Korea/ Keyword extraction and contract type prediction using TF-IDF (Jun. 2023 ~ Nov. 2023) |
|  | Pocheon Senior AI Literacy Improvement Project, Pocheon City Hall, Korea/ Multi-modal production of communication for the elderly by collecting data from various fields (Sep. 2024 ~ Present) |
| Skills and Techniques | SQLD(SQL Developer) | Korea Data Agency |
|  | ADsP | Korea Data Agency |
|  | CS Leaders(Customer satisfaction manager) | Korea Information Evaluation Association |
|  | SMAT(Service Management Ability level 3) | Ministry of Trade, Industry and Energy |
|  | Computer literacy | Korea Chamber of Commerce and Industry |
| Programming Skills | Languages - Python, R, HTML Software/Tools - Conda, Jupyter, MySQL, SQLite |
|  | Environment - Virtual Box |
| Research Interests | Text mining predictive modeling |
|  | Sentiment Analysis |
|  | Natural language processing |
|  | Consumer behavior analysis |
|  | AI(ML, DL), Multi Modal AI |
|  | Time Series Analysis |

<Contact>

- tae9seo@gmail.com

- [https://github.com/TaeGuSeo](https://github.com/TaeGuSeo) 

[TaeGuSeo - Overview](https://github.com/TaeGuSeo)

For the site tree, see the [root Markdown](https://slashpage.com/morakmoraklab.md).
