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Avatar of Martin Vang Rasmussen.
Ph.d.-student in Public Health
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Martin Vang Rasmussen Forsknings- og udviklingsorienteret kandidat i Folkesundhedsvidenskab Uadvendt og altid opgavesøgende person med drømmen om en sundhedsrettet karriere. Jeg har blandt andet erfaring og kompetencer indenfor forebyggelse/sundhedsfremme, patient/borgerinddragelse, kvantitative/kvalitative analyser, sundhedsrelateret statistik, epidemiologi, sundhedsøkonomi og interviews. Jeg er ambitiøs og analytisk tænkende, og jeg er af den overbevisning, at vi i samarbejde med andre opnår vores potentiale. - https://www.linkedin.com/in/martin-vang-rasmussen Email - [email protected] TelefonFødselsdato - 01/Adresse - Vesterbrogade 12, 9400 Nørresundby, Danmark Kompetencer Sundhedsfremme og
Word
Project Management
SPSS
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Full-time / Interested in working remotely
10-15 years
Aalborg University
Public Health
Avatar of YEN-TING CHEN.
Avatar of YEN-TING CHEN.
Research Assistant of National Taiwan University @National Taiwan University
2023 ~ Present
Graduate research assistant
Within six months
YEN-TING CHEN (陳彥廷) I am a graduate student in the Department of Psychology at National Taiwan University ( NTU). For me, diving into psychometrics and exploring data with reasonable statistical method is to clarify a new world of understanding people around us. Whether it's a quirky little issue or a big, serious one, I've got curiosity and grabbed my attention to figure out problems using the tools or theories of psychometrics and data analysis . Right now, I am turning curiosity into discoveries in the wild world of Psychology and All kinds of Data
EDA
Python Programming
R Programming
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4-6 years
National Taiwan University
Psychometrics (Division of Psychology), Methodology (Division of Psychology)
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R
SPSS
SAS Programming
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6-10 years
Tamkang University
Statistics
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Avatar of Laura Horne-Thomas.
Account Handler for Tesco Entertainment @eXPD8
2019 ~ Present
More than one year
and identifying risks. Now looking for new opportunities due to ongoing access issues around data needed for role within Vodafone. MicroStrategy for Business Insight (BI) - Developed basic experience and familiarity with MicroStrategy in creating dynamic reports (or "Dossiers"). Learning for this tool was largely self driven. SAS Enterprise Coding language - Completed an official online training course for SAS Programming Essentials, used for querying, formatting and cleansing data alongside SQL to generate data for use in MicroStrategy. Data Insight Analyst (Unite Students, MarchDecA corporate student housing accommodation business, working within the Higher Education sector. Analysing
Word
PowerPoint
Excel
Employed
Full-time
4-6 years
Cardiff Metropolitan
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Avatar of the user.
營運主管 @冠軍網路服務有限公司
2015 ~ Present
顧客關係人員
More than one year
Excel
Word
PowerPoint
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Full-time / Not interested in working remotely
6-10 years
淡江大學
統計學系
Avatar of Steph Lay.
Avatar of Steph Lay.
Associate Lecturer: DZX222 and DD303 @The Open University
2004 ~ 2008
Senior Manager
More than one year
Dr Steph Lay I'm a senior manager with 19 years experience of working in analysis and insight for higher education, and a qualified cognitive psychologist with a PhD in the perception of near-human faces. I've been with the Open University since 2002 in a range of data-related roles. My current role of senior manager for student research has given me the opportunity to balance team leadership and research design with technical project leadership and coding for data analysis. I work with a highly skilled group of data scientists and insight experts, and I
SAS Programming
SAS Enterprise Guide
Researching
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More than 15 years
The Open University
Creative Writing
Avatar of Jhih-Yu Chen.
資深程式設計師
More than one year
及解決富有挑戰的議題。 資深程式設計師 新北市,TW [email protected] 技能 Languages & Skills C/C++, DirectX, OpenGL, SDL, Shell Scripting, MFC, GTK+, Computer Graphics, Game Development, JNI, Ticket printer programming, bill acceptor programming, SAS programming, GLI programming, RaspberryPi Tools Visual Studio, Android SDK, Code::Blocks, Subversion, Git 工作經歷 GrandPeak Technology Inc, 程式設計師, 2017 年 10 月年 2 月 ⊙ 設計實作一個基於 SDL framework + android SDK
c++ programming
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RS232
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6-10 years
National Dong Hwa University 國立東華大學
Computer Science and Information Engineering
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Syatem Analyst
More than one year
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10-15 years
世新大學
Information and Communications
Avatar of 許珉豪.
Avatar of 許珉豪.
資料科學家 @格萊鉑數位有限公司
2018 ~ Present
資料分析師
Within one month
資訊管理系 (2007/9 ~ 2011/6)。 Blogs: Data is anything but not everything Skill Machine Learing Support Vector Machines Random Forest Gradient Boosting NavieBayes Regression Maximum Entropy Lasso Text Mining Jieba LDA TFIDF Crawler Selenium Pyside Beautifulsoup Json Database Oracle MariaDB MySQL Analysis Tools SPSS SAS Tableau Programming Python R SQL Work Experience EVA AIR,SepJun研究所) 飛行操作風險評估系統 利用即時的氣象資料、組員經驗、機場設施及航機裝備等相關資
Python
Machine Learning
R
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
淡江大學
資訊管理
Avatar of 陳柏安.
Avatar of 陳柏安.
Account Manager @美商安邁科技股份有限公司台灣分公司
2020 ~ Present
Key account Manager
Within one month
Bowen CHEN (Bo-An CHEN) 2F., No. 17, Sec. 3, Tingzhou Rd., Zhongzheng Dist., Taipei City 100, Taiwan // [email protected] EDUCATION National Chengchi University (NCCU) Taipei, Taiwan Major in Sociology SepJun 2017 Elected class representative in four consecutive years Graduated with 3.8 out of 4 GPA (Top 30%) Courses outside of major (GPA: 4/4): Economics, Marketing and Management, Research Method, Data Analysis (SPSS, SAS), Big Data Society (R), Programming and Statistical Software, Psychology National Hsinchu Senior High School Hsinchu, Taiwan SepJun 2013 WORK EXPERIENCE National Chengchi
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National Chengchi University (NCCU)
Sociology

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陳得翊 William

Data analyst, Machine learning engineer

我是一個熱愛挖掘潛在問題的統計人,以客觀的角度分析問題及處理,重視團隊合作,開放的態度分享彼此不同的想法和意見,有效率的解決問題。就學期間致力研究於機器學習,降維(Dimension Reduction)以及模型分類問題。並與台北榮民總醫院合作結合人工智慧開發全方位疾病診斷,在臨床上預測病人在一年內是否發生中風,以及是否由肺靜脈引起心房顫動的3D影像分類。

  

Mobile: +886-988-313-160

Email: [email protected]

技能

Python


  • 視覺化:Matplotlib, Seaborn


  • 機器學習套件:
    Tensorflow, Keras, Scikit-learn, Fast.ai, OpenCV

Machine Learning


  • 模型:Random Forest, XGBoost, LightGBM, SVM, CNN, RNN, LSTM, ResNet
  • 特徵選擇:Genetic algorithm, Simulated Annealing

Dimension Reduction


Multidimensional Scaling (MDS), SCMDS, Principal component analysis (PCA), Factor analysis model, Lasso regression

學歷

2018 - 2020

國立交通大學

統計學研究所

論文題目:Using Machine Learning Model and Ensemble Learning to Predict Ischemic stroke

第三屆統計研究成果研討會海報論文競賽—特優獎


2014 - 2018

私立淡江大學

統計學係

相關課程:回歸分析, 類別資料分析, 實驗設計, 無母數統計, 多變量分析, 時間序列, 倖存分析

程式:R, SAS (SAS Certified Base Programmer)

社團:統計系籃球隊-隊長                                           大統盃,亞軍, 2016 大統盃季軍, 2017

專案經驗


國立交通大學與台北榮民總醫院心臟科

預測病人在一年內是否發生中風Ischemic Stroke

                                                                

透過機器學習 (Machine Learning) 預測病人在一年內是否發生腦缺血型中風 (Ischemic stroke) 並且提升模型在 auc 上的表現。研究過程我們遇到資料極度不平衡的問題,透過變數選擇 (Feature Selection) 幫助我們挑選重要的特徵,使用集成學習 (Ensemble Learning)及下採樣 (Under-sampling)結合多個模型及處理資料不平衡的問題。


國立交通大學

Modeling High-dimensional time series by Structural factor model

                      

研究威爾夏5000指數 (Wilshire 5000 index) 成分股,透過主成份分析 (Principle Component Analysis) by Bai and Ng, Ratio-based method by Lam and Yao, and Structural factor model by Gao and Tsai, 找出背後影響5000支股票的潛在變數。對應於潛在變數與5000支股票的權重,得到新的一組投資組合,比較投組與指數的報酬。 



國立交通大學與台北榮民總醫院心臟科

CT Images Classification of PV and Non-PV trigger by 3D Convolution Network

                                                                                                

一位病人通常會有多張CT影像,有些影像包含疾病而有些影像則未包含, 使用3D CNN 可以使模型以病人為單位而非影像。在3D影像前處理對於像素的長寬和影像之間的切片厚度做歸一化。由於每位病人的影像張數不同, 在張數較少的病人上下補上黑色影像。在模型的選擇上使用 3D Resnet 做 模型訓練,針對資料不平衡的問題,我們對病人的影像做旋轉使得少數類 病人與多數類病人以相同比例進入模型。                                                              



Kaggle

Predict Future Sales (Top 8%)

                                                                                                

資料集由俄羅斯1C公司提供,紀錄2013/01~2015/10的日資料,目的是預測下個月每個產品和商店的總銷售額。在EDA探討各變數與總銷售額的marginal effect,以及變數之間對總銷售額的Joint effect,我們在特徵工程將商店與商品名稱所額外提供的資訊,像是城市,產品類別形成了新的變數。最後透過LightGBM經由gridsearch調整超參數後得到在LB的 rmse : 0.89258。                                                  

工作經歷

四月 2020 - 六月 2020

時間序列助教  國立交通大學

批改學生作業以及協助課業問題。

七月 2019 - 八月 2019

因子選股實習生  元大投信

利用統計方法幫助大中華團隊研究A股,挑選出重要因子且建構模型挑選股票。檢定因子間是否存在共線性,影響下一期報酬率估計。最後透過因子表現分成五組,回測並且比較各組表現。實習期間與主管配合良好,經理人提供想法以及自己的選股邏輯,我再透過檢定和回歸等相關統計方法實現,彼此互助學習讓我獲益良多。

七月 2016 - 八月 2016

顧問助理  VIT Advisors Limited(維億投資顧問有限公司)

陪同顧問到中國海口平安銀行做諮詢及授課,負責記錄諮詢重點。

Resume
Profile

陳得翊 William

Data analyst, Machine learning engineer

我是一個熱愛挖掘潛在問題的統計人,以客觀的角度分析問題及處理,重視團隊合作,開放的態度分享彼此不同的想法和意見,有效率的解決問題。就學期間致力研究於機器學習,降維(Dimension Reduction)以及模型分類問題。並與台北榮民總醫院合作結合人工智慧開發全方位疾病診斷,在臨床上預測病人在一年內是否發生中風,以及是否由肺靜脈引起心房顫動的3D影像分類。

  

Mobile: +886-988-313-160

Email: [email protected]

技能

Python


  • 視覺化:Matplotlib, Seaborn


  • 機器學習套件:
    Tensorflow, Keras, Scikit-learn, Fast.ai, OpenCV

Machine Learning


  • 模型:Random Forest, XGBoost, LightGBM, SVM, CNN, RNN, LSTM, ResNet
  • 特徵選擇:Genetic algorithm, Simulated Annealing

Dimension Reduction


Multidimensional Scaling (MDS), SCMDS, Principal component analysis (PCA), Factor analysis model, Lasso regression

學歷

2018 - 2020

國立交通大學

統計學研究所

論文題目:Using Machine Learning Model and Ensemble Learning to Predict Ischemic stroke

第三屆統計研究成果研討會海報論文競賽—特優獎


2014 - 2018

私立淡江大學

統計學係

相關課程:回歸分析, 類別資料分析, 實驗設計, 無母數統計, 多變量分析, 時間序列, 倖存分析

程式:R, SAS (SAS Certified Base Programmer)

社團:統計系籃球隊-隊長                                           大統盃,亞軍, 2016 大統盃季軍, 2017

專案經驗


國立交通大學與台北榮民總醫院心臟科

預測病人在一年內是否發生中風Ischemic Stroke

                                                                

透過機器學習 (Machine Learning) 預測病人在一年內是否發生腦缺血型中風 (Ischemic stroke) 並且提升模型在 auc 上的表現。研究過程我們遇到資料極度不平衡的問題,透過變數選擇 (Feature Selection) 幫助我們挑選重要的特徵,使用集成學習 (Ensemble Learning)及下採樣 (Under-sampling)結合多個模型及處理資料不平衡的問題。


國立交通大學

Modeling High-dimensional time series by Structural factor model

                      

研究威爾夏5000指數 (Wilshire 5000 index) 成分股,透過主成份分析 (Principle Component Analysis) by Bai and Ng, Ratio-based method by Lam and Yao, and Structural factor model by Gao and Tsai, 找出背後影響5000支股票的潛在變數。對應於潛在變數與5000支股票的權重,得到新的一組投資組合,比較投組與指數的報酬。 



國立交通大學與台北榮民總醫院心臟科

CT Images Classification of PV and Non-PV trigger by 3D Convolution Network

                                                                                                

一位病人通常會有多張CT影像,有些影像包含疾病而有些影像則未包含, 使用3D CNN 可以使模型以病人為單位而非影像。在3D影像前處理對於像素的長寬和影像之間的切片厚度做歸一化。由於每位病人的影像張數不同, 在張數較少的病人上下補上黑色影像。在模型的選擇上使用 3D Resnet 做 模型訓練,針對資料不平衡的問題,我們對病人的影像做旋轉使得少數類 病人與多數類病人以相同比例進入模型。                                                              



Kaggle

Predict Future Sales (Top 8%)

                                                                                                

資料集由俄羅斯1C公司提供,紀錄2013/01~2015/10的日資料,目的是預測下個月每個產品和商店的總銷售額。在EDA探討各變數與總銷售額的marginal effect,以及變數之間對總銷售額的Joint effect,我們在特徵工程將商店與商品名稱所額外提供的資訊,像是城市,產品類別形成了新的變數。最後透過LightGBM經由gridsearch調整超參數後得到在LB的 rmse : 0.89258。                                                  

工作經歷

四月 2020 - 六月 2020

時間序列助教  國立交通大學

批改學生作業以及協助課業問題。

七月 2019 - 八月 2019

因子選股實習生  元大投信

利用統計方法幫助大中華團隊研究A股,挑選出重要因子且建構模型挑選股票。檢定因子間是否存在共線性,影響下一期報酬率估計。最後透過因子表現分成五組,回測並且比較各組表現。實習期間與主管配合良好,經理人提供想法以及自己的選股邏輯,我再透過檢定和回歸等相關統計方法實現,彼此互助學習讓我獲益良多。

七月 2016 - 八月 2016

顧問助理  VIT Advisors Limited(維億投資顧問有限公司)

陪同顧問到中國海口平安銀行做諮詢及授課,負責記錄諮詢重點。