CakeResume 找人才

进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taichung City, Taiwan
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曾任
軟體工程師 @剛谷科技股份有限公司
2021 ~ 2022
Unity Engineer
兩個月內
Word
PowerPoint
Excel
待业中
全职 / 对远端工作有兴趣
4 到 6 年
亞洲大學 Asia University Taiwan
資訊工程
Avatar of 魏川博.
Avatar of 魏川博.
資深軟體工程師 @泰瑋電子股份有限公司
2022 ~ 2023
半年內
— 魏川博 擅長於學習研究新興技術/專案翻修重構/性能優化處理/DevOps與Infra監控架設相關問題 工作經驗最多在.Net後端與iOS/Android相關的開發應用 Taichung City, Taiwan 工作經歷 十二月Present 資深軟體工程師 泰瑋電子股份有限公司 .Net Framework 遊戲專案研發
C#
.Net framework
.NET Core
就职中
全职 / 我只想远端工作
6 到 10 年
私立僑光科技大學
資訊科技系
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Avatar of Cid Hsieh.
iOS developer @喬山健康科技
2020 ~ 现在
iOS developer
一年內
Cid Hsieh iOS開發經驗5年2個月 熟悉Swift, SwiftUI, MVVM, VIPER架構 有使用Firebase & AWS Amplify服務相關經驗 熟悉App開發與上架流程,另外也做出藍牙指令集與客制化圖表Framework 以Git進行版控,可獨立或多人協作完成專案開發 勇於接受挑戰,對於新的事物也都保有極大熱誠與
Swift/iOS
Objective-C
Git
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
中興大學
生命科學
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Frontend Team Leader @台灣幣蜂數位有限公司
2022 ~ 现在
超過一年
JavaScript
JAVA
AWS
就职中
全职 / 对远端工作有兴趣
4 到 6 年
私立高雄醫學大學
醫葯暨應用化學系應用化學

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
能洞察、分析问题,并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对,并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法,且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
团队合作能力
具有向心力与团队责任感,愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展,有效引领团队采取行动,达成共同目标。
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
专业背景
目前状态
就学中
求职阶段
专业
数据科学家
产业
工作年资
1 到 2 年
管理经历
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
语言能力
English
中阶
求职偏好
希望获得的职位
大數據分析,資料科學家,資料工程師,AI工程師
预期工作模式
Intern
期望的工作地点
台灣台北市, 台灣新北市, 台灣台中市, 台灣新竹市
远端工作意愿
对远端工作有兴趣
接案服务
是,我利用业余时间接案
学历
学校
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

简历
个人档案

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