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Taipei City, Taiwan
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Data Science Competition Participant @Self-Employed
2020 ~ Present
資料科學家
Within one month
Microsoft Office
python
machine learning
Studying
Ready to interview
Full-time / Interested in working remotely
4-6 years
National University of Singapore
Department of building
Avatar of Yuchun Lai.
Avatar of Yuchun Lai.
Past
Frontend Engineering Manager, Data Science @Vpon Big Data Group
2022 ~ 2023
Frontend Engineer, Full Stack Engineer
Within one month
to system planning and front-end architecture decisions for security, stability, and scalability. 5. Implemented Git Flow and Github Actions for efficient team collaboration. 6. Wrote unit tests, E2E tests using Jest, Cypress, and Mocks Server for code and system stability. Sr. Frontend Engineer, Data Science • Vpon Big Data Group MayFebruary 2022 | Taipei, Taiwan 1. U sing React and TypeScript to build a large-scale data platform, featuring data visualizations and audience segments. 2. Using deck.gl and vector tiles to build geo data visualizations, with loading times under 1s
HTML
CSS
React
Unemployed
Ready to interview
Full-time / Interested in working remotely
10-15 years
YZU University (元智大學)
Information Communication
Avatar of 宋浩茹 Ellie Sung.
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot , Azure Bot Service, Tableau ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT Research and Work Experience Research Assistant OctPresent Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs ( e.g., LLaMA2, Zephyr. ) in medical Q&A applications, improving model performance by 2.01% . Efficiency Optimization: Utilized Low
Python
R
Natural Language Processing (NLP)
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
資訊科學系
Avatar of 吳俊瑩.
Avatar of 吳俊瑩.
Past
Industrial Engineer @鴻海精密工業股份有限公司
2019 ~ 2023
Data Analyst 數據分析師 / Data Scientist 資料科學家
Within one month
吳俊瑩 Dani el 資料科學家/ AI專案管理/ IE工程師 ·4年網通智能製造經驗,負責工業4.0數位轉型專案 ·統計背景、對數字高度敏銳,能夠有效運用數據 ·思緒縝密、規劃能力強,領導團隊朝目標推進 ·積極主動、學習能力佳,持續吸收新知識 danielwu0221@protonmail
python
R
SAP
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北大學 National Taipei University
經濟學
Avatar of 鄒適文.
Avatar of 鄒適文.
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
Within one month
and preparedness for sophisticated analytics and reporting. Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks. MLOps / Machine Learning / Data Science Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration. Seamlessly merged our recommendation
python
tensorflow
keras
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
大氣科學所
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資料科學家 主任 @太古汽車集團_英屬維京群島商太古國際汽車股份有限公司台灣分公司
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer, Supply Chain Manager, Data Science Manager,
Within one month
SEO Optimization
SEO strategy
Google Analytics
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
麻省理工學院Massachusetts Institute of Technology
Data Science and Machine Learning
Avatar of LIAO WEI CHI.
Avatar of LIAO WEI CHI.
Sr. Technical Product Manager @FunNow 曙客股份有限公司
2022 ~ Present
專案經理、產品經理、系統分析師
Within one month
report across devices and channels that result in the conversion rate of new users increased by 20%. • Design and build various payment methods, label-based search, dynamic pricing via different sale channels, and user-preference recommendation engine to optimise user experience and to boost CVR. • Supervised the AsiaYo Data team, establishing a data pipeline by Airflow™, and building a report system on Tableau™, to accelerate decision-making process across BUs. • Initiated behaviour tracking on the supply-side behaviour of hotels, homestay owners and large-scale operators, analysed their inventory and price synchronisation rate, and proactively
Java
Tableau
PHP
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Southampton
Operational Research and Finance
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Avatar of the user.
Data/ML Engineer @凱基證券
2018 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Data Analysis
Data Science
Database
Employed
Full-time / Interested in working remotely
6-10 years
國立台北科技大學研究所
資訊管理
Avatar of Ta-Chun Lin (TC).
Avatar of Ta-Chun Lin (TC).
全端工程師 (電腦視覺及軟體) @Spingence (偲倢科技股份有限公司)
2020 ~ 2023
AI工程師、ML工程師、資料科學家、軟體工程師
Within one month
Ta-Chun Lin (TC) 近20年的海外居住經驗,我培養了突出的學習及創新能力,更進一步使我擁有了自信自強的性格。 在這個產業中,在知名的AI公司及大型集團,我有著約5年的經驗,這成就了我扎實的專業素養,如專案進程、客戶及團隊溝通、衝突管理等
Software Development
Web Development
Machine Learning
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
澳洲昆士蘭科技大學 (QUT)
電腦科學 (碩士)
Avatar of 莊鈞諺.
Avatar of 莊鈞諺.
Expertise & Innovation Lead, Cloud @fifty-five
2023 ~ Present
Cloud Solution Architect
Within one month
. I excel in translating complex technical initiatives into business growth, with a strong emphasis on knowledge sharing and partnership development within the cloud technology ecosystem. Taipei City, Taiwan phone:mail: [email protected] Work Experience Expertise & Innovation Lead, Cloud fifty-five NovPresent Taipei, Taiwan -Solution Delivery Data Migration : Led data transfers for major financial groups and developed data warehouses for international manufacturing companies. Data Science : Implemented AI training for executives and developed analytics platforms for enhanced customer engagement. Data Governance : Oversaw data compliance projects for leading banks. - Technical Support : Provided troubleshooting and support
Google Analytics
Google Tag Manager
Data Mining
Employed
Full-time / Interested in working remotely
4-6 years
National Chengchi University
Computer Science

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Within six months
Data Scientis at Welhunt Material Enterprise
Welhunt Materials Enterprise
2020 ~ Present
Taipei, 台灣
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
2-4 years
Management
Skills
Word
Excel
PowerPoint
Statistical Modelling
Machine Learning
Machine Learning with stats models and scikit-learn
Machine Learning Algorithms
Cross-Functional Communications
Cross-functional Team Leadership
R
python programming
Research Development
Languages
English
Professional
Chinese
Native or Bilingual
Vietnamese
Beginner
Job search preferences
Positions
Data Scientist, Data Analyst, Machine Learning Engineer
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣高雄, United Kingdom, Singapore, Netherlands, Japan, United States
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
University of Southampton
Major
Business Analytics & Management Sciences
Print
Profile 03 00@2x

吳宗仁 Darren Wu

前英國國民健保署NHS大數據分析師|機器學習/深度學習/統計建模/數據挖掘|研究設計與模型操作|人文/政經/社會觀察者

[email protected]


技能


機器學習與建模

• 算法: Tree-based models; Logistic Regression; XGBoost; KNN; SVM; Credit Score Card; ARIMA; Prophet; Clustering; Apriori; Bayesian analysis; Statistical Modelling


• 統計模擬: System Dynamics; Agent-based Modelling; Monte Carlo


程式語言/軟體

• Programming skills: R; Python (pandas, NumPy, Scikit-learn, statsmodel, apyori, fbprophet, pytorch)


• Software: SPSS; Anylogic; SAS; Matlab; MS Excel


• Web: Dash, Flask, HTML 




工作技能

• Working Skills: Interdisciplinary Communication; Verbal/Writing; Public Speaking; Presentation


•  Git; MySQL; PostgreSQL; Docker; Ubuntu; Airflow


專案

Projects 00 00@2x

英國國民健保署: 自動救護服務分析


方法:根據業務需求設計自動特徵篩選模型,並以Python進行模型應用與特徵篩選工具之設計。 成果:改變與加速組織中統計分析流程,也為未來建模者提供建模的特徵篩選框架。本計畫亦用此工具,分析2019年影響英格蘭中南部救護服務的變因,如何與何時影響,並提供政策建議。研究內容已發表為學位論文。

閱讀成果
Projects 00 00@2x

美國Covid-19風險評分


方法:獲取美國網民對疫情關鍵字的搜尋數據、醫療資源分布、外加空氣汙染指標 (分別反映大眾對疫情的關心,與地區受疫情干擾程度)。使用機器學習風險計分模型檢驗變數影響力;據此建立即時風險預測模型。 成果:所使用的變量,幾乎全數都具有反映疫情的能力,且數據可透過公開管道或爬蟲即時獲取,有利於做出即時風險預測和監控。

閱讀成果
Projects 00 00@2x

中國股市與總體經濟的連動


方法:分析反映投資、生產、消費、貨幣政策與房地產相關經濟變數和上證指數的滯後關係,並了解如何變化。以關聯規則方法分析,用關聯規則數量反映滯後關係。 成果:探討中國股市與經濟間滯後關係的演化。發掘了影響股市不同程度波動的重要因素。

Github: https://github.com/DarrenTsungjenWu/Chinese-Stock-market-and-Macroeconomics

閱讀成果

工作經歷

Welhunt Material Enterprise

Data Scientist|Dec. 2020 - present


•  研究經濟、天氣、船運及國際原物料市場,找尋並爬取資料建置Data Centre。

•  將原物料市場的領域知識,用於feature engineering以自製特徵,優化並使模型多樣化。

•  機器學習建模,掌握衍生性金融商品走勢以利交易人員進行投資與避險。

•  歸結國際市場主要買家的購買行為,使用時間序列與機器學習方法視覺化掌握交易規則,並呈現出不同國家決策時的節點

•  設計Dashboard,設計前端與連接後端資料庫,以呈現研究發現與觀測指標,監測/預判主要購買國的交易活動


South Central Ambulance NHS Foundation Trust, UK

數據分析師|Jun. 2020 - Oct. 2020 (英格蘭南安普頓)

【專案: Developed an automated performance analysis framework for the 999 emergency response services】


•  與supervisors 和 project sponsors 定期溝通需求與進度,確保最終產品交付的形式與品質 

•  運用機器學習為基礎的特徵篩選算法──Sparse Logistic Regression,篩選並解釋造成不良救護服務的因素

•  對 555,000+ 筆緊急救護服務數據 (即999 Incident Data) 進行數據預處理(pandas),並應用特徵篩選算法分析跨週、跨月與跨時樣本數據,總結出不同時間段救護服務的表現差異 

•  使用Python (Scikit-learn) 將特徵篩選器產品化,自動化project sponsors傳統分析流程,即時地辨識重要因素


量化投資社群

專案負責人 & 數據分析師|Mar. 2020 - Sept. 2020 (遠距,台灣)
【專案:交易系統】

• 發起交易系統開發專案,打造具解讀市場情緒 + 綜合預測未來股市變化的交易預測系統

• 組建最小專案戰鬥團隊 (工程師、分析師與投資研究員,橫跨台灣與美國),統合跨領域知識,協調專案進展所需資源

• 監管建模流程與prototype品質,確定產品概念與構圖

• 預處理與測試數據,反覆驗證與強化Forecasting/機器學習模型


南京大學計算機科學中心

研究助理|Mar 2019 - July 2019 (江蘇省南京市)
【專案:中國股市是否是宏觀經濟的晴雨表】

• 瀏覽數據挖掘與股市研究文獻,提出以數據挖掘為基礎的研究主題──中國股市是否是宏觀經濟的晴雨表? 

• 預處理上證指數與8個涵蓋生產、消費、貨幣與房價的經濟指標 (2000-2017年);以視覺化處理,查看波動之關聯 

• 使用Apriori演算法(Python的apyori frameworks),分析上證指數與經濟指標的滯後關係,以此回答經濟理論中的重要命題:中國股市是不是有效市場,以及在17年期間如何演變



學歷

University of Southampton, UK,2019 年 9 月 - 2020 年 10 月

• (MSc) Business Analytics & Management Sciences

• 2.1 Academic Excellence Scholarship/5000 pounds 

• Dissertation: What factors impact poor 999 services, and how? An empirical study of machine-learning-based feature selection on big data from South Central Ambulances Services NHS Foundation Trust

南京大學,2019 年 3 月 - 2019 年 7 月

•  2019春季交流計畫:政府管理學院

• 眾創空間3D列印空間志工解說員、值班管理員

• 相關課程:公共管理研究方法、數據科學、大數據分析基礎

國立政治大學,2014 年 9 月 - 2019 年 6 月

•  經濟學系/中國文學系雙主修 學士

•  研究興趣: 總體經濟、公共經濟 (公部門經濟研究)、貨幣銀行學理論、聲韻/漢語語言


更多作品

Projects 00 00@2x

統計建模/分析:公共經濟

本文研究中國豬肉價格與環境政策的影響。運用三種檢驗模式與視覺化技巧,確立模型/分析的可靠性與延展性。結論揭示環境政策的影響力,及其於中國東中西部的差異。本文為150餘人大課程中最高分,研究結果受評極為可靠,建模技術精確且成熟
閱讀成果


Projects 00 00@2x

統計建模/分析:開源健康資料

病人健康如何影響罹患心臟病的機率?本作品旨在展示不同的特徵組合,如何影響模型的解釋力。同時設計/改善Matlab程式碼進行分析,並分別對感興趣的特徵繪出變數─機率擬合圖。

閱讀成果


Projects 00 00@2x

Forecasting

本作品為技術報告,主要涉及模型訓練、統計判斷以及模型比對之流程。測試Exponential Smoothing模型,並與ARIMA模型進行比較。

閱讀成果

學習資源

•  Coursera:
機器學習、深度學習 (Andrew Ng)

•  LinkedIn Learning
SQL Essential Learning
Social Networks Analysis Using R

•  Other Platforms
StatQuest: https://bit.ly/3nJHBqm 
Tech with Tim: https://bit.ly/3fl5qSl

• Reference Book Recommended
 Hyndman, R. and Athanasopoulos, G. (2018) Forecasting: Principles and Practices. Available at: https://otexts.com/fpp2/
 Hastie, T., Tibshirani, R., and Friedman, J. (2009) The elements of statistical learning: data mining, inference, and prediction. Springer Science & Business Media.
 Géron A. (2019) Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. O'Reilly Media, Inc.
 Han, J., Pei, J., and Kamber, M. (2011) Data mining: concepts and techniques. Elsevier.
 周志華 (2018) 機器學習. 北京清華大學出版社
Resume
Profile
Profile 03 00@2x

吳宗仁 Darren Wu

前英國國民健保署NHS大數據分析師|機器學習/深度學習/統計建模/數據挖掘|研究設計與模型操作|人文/政經/社會觀察者

[email protected]


技能


機器學習與建模

• 算法: Tree-based models; Logistic Regression; XGBoost; KNN; SVM; Credit Score Card; ARIMA; Prophet; Clustering; Apriori; Bayesian analysis; Statistical Modelling


• 統計模擬: System Dynamics; Agent-based Modelling; Monte Carlo


程式語言/軟體

• Programming skills: R; Python (pandas, NumPy, Scikit-learn, statsmodel, apyori, fbprophet, pytorch)


• Software: SPSS; Anylogic; SAS; Matlab; MS Excel


• Web: Dash, Flask, HTML 




工作技能

• Working Skills: Interdisciplinary Communication; Verbal/Writing; Public Speaking; Presentation


•  Git; MySQL; PostgreSQL; Docker; Ubuntu; Airflow


專案

Projects 00 00@2x

英國國民健保署: 自動救護服務分析


方法:根據業務需求設計自動特徵篩選模型,並以Python進行模型應用與特徵篩選工具之設計。 成果:改變與加速組織中統計分析流程,也為未來建模者提供建模的特徵篩選框架。本計畫亦用此工具,分析2019年影響英格蘭中南部救護服務的變因,如何與何時影響,並提供政策建議。研究內容已發表為學位論文。

閱讀成果
Projects 00 00@2x

美國Covid-19風險評分


方法:獲取美國網民對疫情關鍵字的搜尋數據、醫療資源分布、外加空氣汙染指標 (分別反映大眾對疫情的關心,與地區受疫情干擾程度)。使用機器學習風險計分模型檢驗變數影響力;據此建立即時風險預測模型。 成果:所使用的變量,幾乎全數都具有反映疫情的能力,且數據可透過公開管道或爬蟲即時獲取,有利於做出即時風險預測和監控。

閱讀成果
Projects 00 00@2x

中國股市與總體經濟的連動


方法:分析反映投資、生產、消費、貨幣政策與房地產相關經濟變數和上證指數的滯後關係,並了解如何變化。以關聯規則方法分析,用關聯規則數量反映滯後關係。 成果:探討中國股市與經濟間滯後關係的演化。發掘了影響股市不同程度波動的重要因素。

Github: https://github.com/DarrenTsungjenWu/Chinese-Stock-market-and-Macroeconomics

閱讀成果

工作經歷

Welhunt Material Enterprise

Data Scientist|Dec. 2020 - present


•  研究經濟、天氣、船運及國際原物料市場,找尋並爬取資料建置Data Centre。

•  將原物料市場的領域知識,用於feature engineering以自製特徵,優化並使模型多樣化。

•  機器學習建模,掌握衍生性金融商品走勢以利交易人員進行投資與避險。

•  歸結國際市場主要買家的購買行為,使用時間序列與機器學習方法視覺化掌握交易規則,並呈現出不同國家決策時的節點

•  設計Dashboard,設計前端與連接後端資料庫,以呈現研究發現與觀測指標,監測/預判主要購買國的交易活動


South Central Ambulance NHS Foundation Trust, UK

數據分析師|Jun. 2020 - Oct. 2020 (英格蘭南安普頓)

【專案: Developed an automated performance analysis framework for the 999 emergency response services】


•  與supervisors 和 project sponsors 定期溝通需求與進度,確保最終產品交付的形式與品質 

•  運用機器學習為基礎的特徵篩選算法──Sparse Logistic Regression,篩選並解釋造成不良救護服務的因素

•  對 555,000+ 筆緊急救護服務數據 (即999 Incident Data) 進行數據預處理(pandas),並應用特徵篩選算法分析跨週、跨月與跨時樣本數據,總結出不同時間段救護服務的表現差異 

•  使用Python (Scikit-learn) 將特徵篩選器產品化,自動化project sponsors傳統分析流程,即時地辨識重要因素


量化投資社群

專案負責人 & 數據分析師|Mar. 2020 - Sept. 2020 (遠距,台灣)
【專案:交易系統】

• 發起交易系統開發專案,打造具解讀市場情緒 + 綜合預測未來股市變化的交易預測系統

• 組建最小專案戰鬥團隊 (工程師、分析師與投資研究員,橫跨台灣與美國),統合跨領域知識,協調專案進展所需資源

• 監管建模流程與prototype品質,確定產品概念與構圖

• 預處理與測試數據,反覆驗證與強化Forecasting/機器學習模型


南京大學計算機科學中心

研究助理|Mar 2019 - July 2019 (江蘇省南京市)
【專案:中國股市是否是宏觀經濟的晴雨表】

• 瀏覽數據挖掘與股市研究文獻,提出以數據挖掘為基礎的研究主題──中國股市是否是宏觀經濟的晴雨表? 

• 預處理上證指數與8個涵蓋生產、消費、貨幣與房價的經濟指標 (2000-2017年);以視覺化處理,查看波動之關聯 

• 使用Apriori演算法(Python的apyori frameworks),分析上證指數與經濟指標的滯後關係,以此回答經濟理論中的重要命題:中國股市是不是有效市場,以及在17年期間如何演變



學歷

University of Southampton, UK,2019 年 9 月 - 2020 年 10 月

• (MSc) Business Analytics & Management Sciences

• 2.1 Academic Excellence Scholarship/5000 pounds 

• Dissertation: What factors impact poor 999 services, and how? An empirical study of machine-learning-based feature selection on big data from South Central Ambulances Services NHS Foundation Trust

南京大學,2019 年 3 月 - 2019 年 7 月

•  2019春季交流計畫:政府管理學院

• 眾創空間3D列印空間志工解說員、值班管理員

• 相關課程:公共管理研究方法、數據科學、大數據分析基礎

國立政治大學,2014 年 9 月 - 2019 年 6 月

•  經濟學系/中國文學系雙主修 學士

•  研究興趣: 總體經濟、公共經濟 (公部門經濟研究)、貨幣銀行學理論、聲韻/漢語語言


更多作品

Projects 00 00@2x

統計建模/分析:公共經濟

本文研究中國豬肉價格與環境政策的影響。運用三種檢驗模式與視覺化技巧,確立模型/分析的可靠性與延展性。結論揭示環境政策的影響力,及其於中國東中西部的差異。本文為150餘人大課程中最高分,研究結果受評極為可靠,建模技術精確且成熟
閱讀成果


Projects 00 00@2x

統計建模/分析:開源健康資料

病人健康如何影響罹患心臟病的機率?本作品旨在展示不同的特徵組合,如何影響模型的解釋力。同時設計/改善Matlab程式碼進行分析,並分別對感興趣的特徵繪出變數─機率擬合圖。

閱讀成果


Projects 00 00@2x

Forecasting

本作品為技術報告,主要涉及模型訓練、統計判斷以及模型比對之流程。測試Exponential Smoothing模型,並與ARIMA模型進行比較。

閱讀成果

學習資源

•  Coursera:
機器學習、深度學習 (Andrew Ng)

•  LinkedIn Learning
SQL Essential Learning
Social Networks Analysis Using R

•  Other Platforms
StatQuest: https://bit.ly/3nJHBqm 
Tech with Tim: https://bit.ly/3fl5qSl

• Reference Book Recommended
 Hyndman, R. and Athanasopoulos, G. (2018) Forecasting: Principles and Practices. Available at: https://otexts.com/fpp2/
 Hastie, T., Tibshirani, R., and Friedman, J. (2009) The elements of statistical learning: data mining, inference, and prediction. Springer Science & Business Media.
 Géron A. (2019) Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. O'Reilly Media, Inc.
 Han, J., Pei, J., and Kamber, M. (2011) Data mining: concepts and techniques. Elsevier.
 周志華 (2018) 機器學習. 北京清華大學出版社