hyaluronicc / awesomekorean_data Goto Github PK

• data engineering

• ETL(Airflow, SSIS), SQL(MSSQL, Postgresql, Oracle), Cloud Services(GCP, Azure, AWS), ML/DL(NLP), Visualization(Power BI, Tableau)

10x10, 2021.04~, Full Time

• 유사상품 매핑, 주문별 화폐단위별 매출 분할 수정, 영업MD용 매출 자료 시각화(Power BI), SSIS ETL(Redshift) 오류 수정, SSIS ETL pipelie→ airflow 이관 작업

EY Korea, 2020.10~2021.04, Intern

• 회계데이터 부정 시나리오 SQL작성 및 검토, 전표 및 시산표에 대한 이해, Alteryx, 회계데이터 시각화

JobsN

• 2018.12~2019.02, Contents intern, 직업 관련 취재 및 기사작성, 잡스엔 채널관리
• 100만뷰 기사 작성(https://content.v.daum.net/v/cdtINopv00 , https://content.v.daum.net/v/ccfBWzTbG6)

Yonsei University

• MS in Digital Analytics(2020.8)
• Courses taken: Machine Learning, Database Management, Computer Programming, Text Mining, AI and Deep Learning, The Basics of Big Data Analytics(Pandas), Natural Language Processing and deep learning, Data Mining, Recommender System, Statistical analysis of big data, Big data parallel processing, practical big data analytics
• BS in Korean Language and Literature(2018.8)

2022~

• SAP, airflow : BO, BW

2021~2022

• SSIS to Airflow : changed ETL process to Airflow, Airflow 2.1.3, Ubuntu 20.04

2019-2020

• NER Data preprocessing/comparison between English and Korean data

• cross lingual representation. zero-shot performance comparison between Korean and English. Wrote Korean NER guideline. Used KoBert

• Seoul Chatbot Hackathon : Made Chatbot for Water Pollution, Crawling, Data Engineering, Used Transformer model

-python, linux, AWS, GCP, Azure, Power BI, Tableau

-정보처리기사, 리눅스2급, SQLD, ADsP, 사회조사분석사, AZ-900

• 농식품 공공 및 빅데이터 활용 창업경진대회 우수상(2019) Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries (EPIS)