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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
이준수님은 4년 차 Senior Data Scientist로서 NH투자증권에서 데이터 분석 및 모델 개발을 담당하고 있습니다. 이전에는 Deloitte Consulting에서 Data Scientist로 활동했으며, статистical consulting과 교육 프로그램 개발 경험이 있습니다. 다양한 R 프로그래밍 및 데이터 분석 기법을 활용한 실무 경험을 바탕으로, 데이터 기반 의사결정 지원에 기여하고 있습니다.
經歷
Data Science Research Assistant / R Programmer
Statistical Methods, Applications & Computing Group (SMAC)
2017년 2월 - 2018년 6월 · 1년 5개월
Under supervison of Prof. Stephane Guerrier. 소프트웨어 개발. Concentration: Time Series and Signal Processing
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STAT 297 - Statistical Programming Methods • intended to provide an introduction to statistical programming using the R language, and provide students with notions of data management, manipulation and analysis as well as of reproducible research, result-sharing and version control (using GitHub) • co-author and creator of course • effectively used various R packages such as bookdown and pkgdown to create website and course etextbook • contributed in creation of R Shiny web applications for attendance, Monte Carlo integration, and Buffon's Neddle demonstration
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活動
最近活動
獲獎 2
專案 4
프로젝트
An Introduction to Statistical Programming Methods with R 책 저자
2017년 8월 - 2018년 1월 · 6개월
This book intends to present the basic tools to statistical programming and software development using the wide variety of tools made available through R, from method-specific packages to version control programs. The general goals of the book are therefore the following: • understand data structures in order to appropriately manage data, computer memory and computations; • manipulate data structures through controls, instructions, and tailored functions in order to achieve a desired output; • create new software tools (packages and web applications) that accommodate a previously unmet need; • learn how to manage software development via version control tools (e.g., GitHub) and create documentation for this software (with embedded code) to allow others to make use of the software.
프로젝트
<wv> R Package
Statistical Methods, Applications & Computing Group (SMAC) · 2017년 8월 - 현재 · 8년 6개월
• Author and maintainer of wavelet variance (wv) package, which uses parameter estimation techniques to calculate discrete wavelet transformation coefficients, maximum overlap discrete (stationary) wavelet transformation with additional emphasis on novel methods of spatial wavelet cases • Working on optimization of code and efficient memory management in Rcpp, for future implementation on big datasets • Arrange meetings with supervisor and effectively presented critical findings using R Shiny for visiting scholars, using version control with public GitHub repository for open-source distribution of algorithm
프로젝트
<simts> R Package
Statistical Methods, Applications & Computing Group (SMAC) · 2017년 5월 - 현재 · 8년 9개월
• Author and maintainer of wavelet variance (simts) package, which generates various time series objects from TS models and TS data objects, for use in other packages. • Generate website framework and vignettes for written guide to using the package
수상
중서부 학부 데이터 분석 대회 (MUDAC)
Winona State University · 2017년 4월
Classified outcomes of housing feedback with over 200 predictors using machine learning algorithms such as Random Forest, SVM, penalized logistic regression. Presented recommendations for resource reallocations specific to different geographic and demographic areas to benefit the company and the tenants financially.
프로젝트
<pairbond-net> R Package
Statistical Methods, Applications & Computing Group (SMAC) · 2017년 2월 - 2017년 4월 · 3개월
• Created interactive pairwise bonding network visualization (pairbond-net) of gene pairs using regular expressions, HTML widgets and R Shiny, in which user can control tension of edges, size, font, and number of hierarchical clusters by visualizing dendrogram • Arranged meetings with supervisor and effectively presented critical findings using R Shiny for visiting scholars, using version control with public GitHub repository for open-source distribution of algorithm
語言
원어민
고급 (자유로운 의사소통)
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