- 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
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EY Korea, 2020.10~2021.04, Intern
- νκ³λ°μ΄ν° λΆμ μλλ¦¬μ€ SQLμμ± λ° κ²ν , μ ν λ° μμ°νμ λν μ΄ν΄, Alteryx, νκ³λ°μ΄ν° μκ°ν
JobsN
- 2018.12~2019.02, Contents intern, μ§μ κ΄λ ¨ μ·¨μ¬ λ° κΈ°μ¬μμ±, μ‘μ€μ μ±λκ΄λ¦¬
- 100λ§λ·° κΈ°μ¬ μμ±(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
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NER Data preprocessing/comparison between English and Korean data
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cross lingual representation. zero-shot performance comparison between Korean and English. Wrote Korean NER guideline. Used KoBert
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Seoul Chatbot Hackathon : Made Chatbot for Water Pollution, Crawling, Data Engineering, Used Transformer model
-python, linux, AWS, GCP, Azure, Power BI, Tableau
-μ 보μ²λ¦¬κΈ°μ¬, 리λ μ€2κΈ, SQLD, ADsP, μ¬νμ‘°μ¬λΆμμ¬, AZ-900
- λμν 곡곡 λ° λΉ λ°μ΄ν° νμ© μ°½μ κ²½μ§λν μ°μμ(2019) Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries (EPIS)