CakeResume 找人才

進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taichung City, Taiwan
Avatar of 許鈺祥.
Avatar of 許鈺祥.
ERP資訊工程師 ERP Software Engineer @南茂科技股份有限公司 ChipMOS TECHNOLOGIES
2022 ~ 現在
Engineer, SA, SD, Data Analyst, PM
一個月內
影像辨識-化學槽車違規系統,其功能包含辨識、規則判斷、MSMQ、排程、UI介面,其中Phase 1應用在竹科偵測違規跨越閘門。 FDC:FDC UI從Hadoop抓取統計資料,進行單變量分析模擬,模擬不同機台來調整標準差,並繪製管制圖表。 其它 : Cross FAB Compare(依不同資料來源,進行跨
C#
Java
WebMethods
就職中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學 National Cheng Kung University
Industrial and Information Management
Avatar of 曾嬿儒.
Avatar of 曾嬿儒.
曾任
台中分公司業務主管幕僚 @新光人壽
2022 ~ 2024
企劃、專案管理師、諮詢顧問、講師
一個月內
促約率從10%提升至20%。 資源整合: 跨集團、跨部室 與業務管理單位、資訊單位、資料科學團隊合作。資料流橫跨3個資料庫,DB2、Teradata、Hadoop。業務別橫跨所有壽險業務。與金控數數發合作開發,支援集團數位轉型目標。 教育推廣: 製作教育訓練素材 ,包含課程教材
專案管理
產品規劃
資料視覺化
待業中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
國立清華大學 National Tsing Hua University
服務科學
Avatar of the user.
Avatar of the user.
Senior Data Engineer @美光科技
2021 ~ 現在
Software Engineer / Backend Engineer / DevOps Engineer
半年內
Python
Google cloud platform
Helm
就職中
全職 / 我只想遠端工作
4 到 6 年
National Chiao Tung University
資訊管理學系

最輕量、快速的招募方案,數百家企業的選擇

搜尋履歷,主動聯繫求職者,提升招募效率。

  • 瀏覽所有搜尋結果
  • 每日可無限次數開啟陌生對話
  • 搜尋僅開放付費企業檢視的履歷
  • 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
如果結果不夠多,再逐一刪除較不重要的關鍵字
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號,如果想濾掉中文字,需搭配雙引號使用 (-"人資")
UI designer -UX
免費方案僅能搜尋公開履歷。
升級至進階方案,即可瀏覽所有搜尋結果(包含數萬筆覽僅在 CakeResume 平台上公開的履歷)。

職場能力評價定義

專業技能
該領域中具備哪些專業能力(例如熟悉 SEO 操作,且會使用相關工具)。
問題解決能力
能洞察、分析問題,並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對,並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法,且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序,有效運用時間,準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感,願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展,有效引領團隊採取行動,達成共同目標。
超過一年
國立政治大學資訊科學系機器智能實驗室
2018 ~ 2019
台灣台中市
專業背景
目前狀態
就學中
求職階段
專業
數據科學家
產業
工作年資
1 到 2 年
管理經歷
技能
Python
C++
C
SQL
R
D3.js
CSS
Swift/iOS
Hadoop
MySQL
MongoDB
Git
Docker
SAS
Matlab
PowerPoint
Excel
Word
Linux
Mac OS
Windows
語言能力
English
中階
求職偏好
希望獲得的職位
大數據分析,資料科學家,資料工程師,AI工程師
預期工作模式
實習生
期望的工作地點
台灣台北市, 台灣新北市, 台灣台中市, 台灣新竹市
遠端工作意願
對遠端工作有興趣
接案服務
是,我利用業餘時間接案
學歷
學校
UCR
主修科系
Master of Science in Computer Science
列印

Ao78ul6nn5tn8cmpm5pa

張維庭 William Chang

Have 5+ years experience in Data Analysis

Expertise in the areas of machine learning, data visualization, and NLP 

Data scientist, Data engineer, Data analyst, AI engineer

  Taichung,TW
 [email protected]

 TECHNICAL SKILL


Software/Platform

  • Hadoop, MySQL, MongoDB
  • Git, Docker
  • SAS, MATLAB
  • PowerPoint, Excel, Word


Programming

  • Python, C/C++, R
  • SQL, 
  • D3.js, CSS, HTML
  • Swift


Operating Systems

  • Windows
  • MacOS
  • Linux

 DATA ANALYTICS and DATA SCIENCE EXPERIENCES

Information Retrieval & Web Search, UCR

     Recipe Search Engine                                                                                             Jan. 2020 – Mar. 2020

  • Collected data form the website (Allrecipes) using Scrapy and stored them by Hadoop.
  • Built index for search engine through two methods. The first used PyLucene with assigned filed, and the second created pipeline to calculate TF-IDF on Hadoop.

Big-Data Management, UCR 

     Twitter Data Analyze in Car Brand Topic                                                         Sep. 2019 – Dec.2019  

  • Crawled the text contents related to car brands through Scrapy and stored them into MongoDB.
  • Created multiple processes to generate key word and brand popularity analytic results.
  • Visualized the results into interactive graph such as word cloud and geographic hotspot map and built a webpage to support all the search queries by python Dash.

Research Assistant, Machine Intelligence Group (MIG), NCCU

     Automated word segmentation in Tang poetry and epitaph project           Jun. 2019 – Jul. 2019 

  • Implemented an analyze tool to verify quality of data labeled by different source
  • Trained word embedding model via gensim word2vec package
  • Combined word embedding model with LSTM model (Keras) and added some special feature (e.g. rhyme) to implement an auto procedure to fulfill word segmentation in poetry and epitaph
  • Improved the model precision to near 90% and presented the result in short paper and was successfully accepted to Digital Humanities 2020 Conference

Research Assistant, Machine Intelligence Group (MIG), NCCU

     Chinese text content simplification and compression project                    Nov. 2018 – Dec. 2018

  • Used python beautiful soup package and regular expression operations to extract contents collected from Biographies in Local Gazetteers
  • Designed a syntactic analytic application which could generate simplified and compressed Chinese text content by combining python NLTK package and Stanford NLP tool
  • Demonstrated the application result of content simplification and compression in short paper and was successfully accepted to Digital Humanities 2019 Conference

Undergraduate special topic on computer science, NCCU

     HiCmapTools: A tool to analyze Hi-Contact Data                                              Jul. 2017 – Feb. 2018

  • Designed a set of computation procedure tools by C++ to help biologist perform data analysis on different queries
  • Fulfilled an auxiliary statistic tool (R) to visualize result and analyze the quality
  • Received a research grant from Academia Sinica (project number: 106-2813-C-004-036-E )
  • Won third place in department exhibition

 EDUCATION

University of California, Riverside, Riverside, CA (UCR)                                              Dec. 2020

Master of Science in Computer Science
  • Relevant course work: 
    Big-Data Management, Artificial Intelligence, Information Retrieval and Web Search, Probability Model for Artificial Intelligence, Data Mining Techniques, Statistic, Database System, Information Visualization, Business Analytics with SAS/R

National Chengchi University, Taipei, Taiwan (NCCU)                                                June 2018

Bachelor of Science in Computer Science
  • Completion of Big Data Analytics Program for Undergraduates
  • Certificate in Fintech

 HONOR


  • Academic Excellence Award, NCCU                                                                           Feb. 2018 – Jun. 2018

履歷
個人檔案

Ao78ul6nn5tn8cmpm5pa

張維庭 William Chang

Have 5+ years experience in Data Analysis

Expertise in the areas of machine learning, data visualization, and NLP 

Data scientist, Data engineer, Data analyst, AI engineer

  Taichung,TW
 [email protected]

 TECHNICAL SKILL


Software/Platform

  • Hadoop, MySQL, MongoDB
  • Git, Docker
  • SAS, MATLAB
  • PowerPoint, Excel, Word


Programming

  • Python, C/C++, R
  • SQL, 
  • D3.js, CSS, HTML
  • Swift


Operating Systems

  • Windows
  • MacOS
  • Linux

 DATA ANALYTICS and DATA SCIENCE EXPERIENCES

Information Retrieval & Web Search, UCR

     Recipe Search Engine                                                                                             Jan. 2020 – Mar. 2020

  • Collected data form the website (Allrecipes) using Scrapy and stored them by Hadoop.
  • Built index for search engine through two methods. The first used PyLucene with assigned filed, and the second created pipeline to calculate TF-IDF on Hadoop.

Big-Data Management, UCR 

     Twitter Data Analyze in Car Brand Topic                                                         Sep. 2019 – Dec.2019  

  • Crawled the text contents related to car brands through Scrapy and stored them into MongoDB.
  • Created multiple processes to generate key word and brand popularity analytic results.
  • Visualized the results into interactive graph such as word cloud and geographic hotspot map and built a webpage to support all the search queries by python Dash.

Research Assistant, Machine Intelligence Group (MIG), NCCU

     Automated word segmentation in Tang poetry and epitaph project           Jun. 2019 – Jul. 2019 

  • Implemented an analyze tool to verify quality of data labeled by different source
  • Trained word embedding model via gensim word2vec package
  • Combined word embedding model with LSTM model (Keras) and added some special feature (e.g. rhyme) to implement an auto procedure to fulfill word segmentation in poetry and epitaph
  • Improved the model precision to near 90% and presented the result in short paper and was successfully accepted to Digital Humanities 2020 Conference

Research Assistant, Machine Intelligence Group (MIG), NCCU

     Chinese text content simplification and compression project                    Nov. 2018 – Dec. 2018

  • Used python beautiful soup package and regular expression operations to extract contents collected from Biographies in Local Gazetteers
  • Designed a syntactic analytic application which could generate simplified and compressed Chinese text content by combining python NLTK package and Stanford NLP tool
  • Demonstrated the application result of content simplification and compression in short paper and was successfully accepted to Digital Humanities 2019 Conference

Undergraduate special topic on computer science, NCCU

     HiCmapTools: A tool to analyze Hi-Contact Data                                              Jul. 2017 – Feb. 2018

  • Designed a set of computation procedure tools by C++ to help biologist perform data analysis on different queries
  • Fulfilled an auxiliary statistic tool (R) to visualize result and analyze the quality
  • Received a research grant from Academia Sinica (project number: 106-2813-C-004-036-E )
  • Won third place in department exhibition

 EDUCATION

University of California, Riverside, Riverside, CA (UCR)                                              Dec. 2020

Master of Science in Computer Science
  • Relevant course work: 
    Big-Data Management, Artificial Intelligence, Information Retrieval and Web Search, Probability Model for Artificial Intelligence, Data Mining Techniques, Statistic, Database System, Information Visualization, Business Analytics with SAS/R

National Chengchi University, Taipei, Taiwan (NCCU)                                                June 2018

Bachelor of Science in Computer Science
  • Completion of Big Data Analytics Program for Undergraduates
  • Certificate in Fintech

 HONOR


  • Academic Excellence Award, NCCU                                                                           Feb. 2018 – Jun. 2018