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© 2025 Rocketpunch, 주식회사 더블에이스, 김인기, 大韓民國首爾特別市城東區聖水一路10街 12, 12樓 1號, 04793, support@rocketpunch.com, +82 10-2710-7121
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自訂 Cookie
禁止且拒絕未經各資訊當事人同意,擅自蒐集本服務提供的使用者個人資訊資料等資料之行為。即使是公開資料,若未經許可使用爬蟲等技術裝置進行蒐集,依個人資訊保護法可能會受到刑事處分,特此告知。
© 2025 Rocketpunch, 주식회사 더블에이스, 김인기, 大韓民國首爾特別市城東區聖水一路10街 12, 12樓 1號, 04793, support@rocketpunch.com, +82 10-2710-7121
統一編號 206-87-09615
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職涯
貼文
AI 職涯摘要
잔도스님은 닥터다이어리에서 벡엔드 개발자로 근무하며 내부 관리 도구, 데이터베이스, 배포, iOS/Android 앱 REST API 유지보수 및 e-commerce 시스템 구축 경험을 보유하고 있습니다. 또한, Node.js 기반의 웹 스크래퍼 개발 및 데이터 수집, Next.js, React.js, MongoDB, AWS 등을 활용한 풀스택 개발 역량을 갖추고 있습니다.
經歷
• Maintaining internal managements tools, database, deployment, REST APIs for IOS/Android App • Co-designed, building and integrating e-commerce system into the app in the production state • Built a full-stack subscription-based e-commerce system with 10,000+ user within the first week after deployment • Built/deployed executed a recursive web scraper on Node.js and Shell to gather data for analytical purposes • Front-end: Next.js, React.js, styled-components, CSS, DOM manipulation (vanilla), jQuery • Back-end: Node.js, Express, Next.js API Routes, MongoDB, React • Deployment/Dev-ops: Docker, AWS: ECS, EC2, Lambda etc., MongoDB: atlas, realm etc.
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- Naimi.kz is a professional services marketplace founded in 2015. Naimi.kz was listed as one of the top-30 best mobile apps in Forbes Kazakhstan consecutively for 3 years - Cleaned data, performed exploratory analysis and visualizing of users' activity using Python (Pandas, Seaborn, Matplotlib, Numpy) - Interpreted and presented the results to senior analysts
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學歷
GPA: 4.13/4.5 Sep 2016 - Jun 2020: Sejong University Scholarship of Excellence for International Students Sep 2016 - Jul 2017 Sejong University Dean's list (Honor list): top 2% highest performing students in the department Coursework: Statistics, Business Research Methods (Tableau/Python), Business Data Management (R/SQL)
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活動
最近活動
獲獎 2
專案 2
프로젝트
Glassdoor Reviews Sentiment Analysis with BERT NLP classification model
2020년 7월 - 2020년 7월 · 1개월
Scraping, cleaning and analyzing 10,000+ Glassdoor reviews on 20 IT companies. Conducting multiclass sentiment classification on 10,000+ Glassdoor reviews using pre-trained BERT base cased model.
프로젝트
Attendance with Face Recognition
2019년 10월 - 2019년 12월 · 3개월
User should take a picture of himself, and checked if user’s picture is in database. User will be asked to fill his information if no match found. inside of database.Used MessageBox,TextEntryDialog from wx library, and pandas library.
에르무카느벹예센, 무카타예브아이도스님과 함께 참여함.
수상
Sejong University Dean's list (Honor list)
Sejong University · 2017년 6월
2016-2017 listen on the Dean's List. Awarded to the top 2% highest performing students in the department
수상
Sejong University Scholarship of Excellence for International Students
Sejong University · 2016년 9월
2016-2020 Consecutive scholariship for high performance
語言
원어민
원어민
초급
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