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4 à 6 ans
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淡江大學
Past
Senior Frontend Developer @恒遠科技有限公司2022 ~ 2024
・
senior frontend engineer or frontend lead
Dans 1 mois
減、包體縮減 3. 競業資源爬蟲及破解 內容：競業服務資源擷取研究，透過自動化排程設計爬蟲取得資源 技術：crypto-js、Node.js、MongoDB 4. 客服聊天室功能開發 技術：React、Ant Design、AES、融云(在線通信雲服務)、Tailwind CSS 5. 持續整合部署 技術：Jenkins、Docker、PM2、NginX Frontend Cocos Team Leader • 華勝網
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Temps plein / Intéressé par le travail à distance
Plus de 15 ans
淡江大學
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資訊工程
Past
資深軟體工程師 @Wistron ITS 緯創軟體股份有限公司2022 ~ 2023
・
軟體開發工程師
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
淡江大學
・
computer science4 à 6 ans
淡江大學
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經濟系Employé
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Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
淡江大學
・
資訊管理
軟體工程師 @智慧價值股份有限公司2019 ~ Présent
・
Dans 6 mois
結後系統依據使用者留言繪製出留言內容的關係圖，並以 3D 拓撲圖呈現在 web 中。 直播代購聊天室( React JS / Spring Boot / Redis / Rabbitmq / MongoDB / K8S) 建立Web版聊天室，伺服器也提供行動端使用，透過 Redis 廣撥給各個分散式伺服器，並傳送給RabbitMQ，將資料透過專屬伺服器
Temps plein / Intéressé par le travail à distance
4 à 6 ans
淡江大學
・
電機工程
前端工程師 @普鴻科技（將來銀行駐點）2020 ~ 2021
・
前端工程師
Plus d'1 an
應用 熟悉 Docker 熟悉 graphql 前端應用 熟悉 node.js express + mySQL 熟悉 Git 相關版控工具、sourcetree 熟悉 Gcp 熟悉 nuxt.js、next.js 熟悉 webSocket 略懂 PWA 略懂 mongoose mongoDB firebase 基本技術 略懂 flutter 作品： github : https://github.com/JessicaHuang210 ios上架app ： https://apps.apple.com/tw/app/management-tool/idandriod上架app： https://play.google
Employé
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Temps plein / Intéressé par le travail à distance
4 à 6 ans
淡江大學
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電機工程學系
App開發部經理 @雲騰科技股份有限公司2015 ~ Présent
・
資深系統設計師、Technical Leader
Plus d'1 an
他成員往下開發，並隨時幫他們進行 Code Review ，確保大家沒有走偏。 App開發經驗 - React Native - graphQL - redux - redux-saga - code-push - iOS (Swift) - Android (Java) - cordova 後端技術經驗 - nginx - mongodb規劃與架設 - redis規劃 - node.js - pm2 - docker - WebSocket - ECMAScript - RESTful API Server 其他技術經驗 - Laravel(php framework) - Ruby on Rails - react.js - .NET framework MVC - Jenkins/Azure Ops CI/CD - git - rebase - cherry pick - git
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Temps plein / Intéressé par le travail à distance
4 à 6 ans
淡江大學
・
資訊工程學系
JAVA工程師 @凌網科技2018 ~ Présent
・
後端工程師、全端工程師、AndroidAPP開發工程師
Dans 1 mois
及Android APP專案開發。 Software Engineer / Android App Engineer Taoyuan，Taiwan [email protected] 技能 Skills Programming JAVA Android Html/CSS Html5 JavaScript JQuery AJAX JSP / Servlet Frameworks Structs2、Spring、Hibernate Spring MVC Spring Boot Vue、Vuetify Database Systems Oracle MSSQL MangoDB Redis IDE Eclipse Android Studio VsCode Agile Processes Scrum Version Control Git / Github / SVN Server Apache Tomcat Nginx Languages Chinese English 經歷 Experiences JAVA工程師 ，2018 年 11月 - 凌網科技 (互動式問答客服) 負責工作
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Temps plein / Intéressé par le travail à distance
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淡江大學
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
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Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Data Scientist
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2 à 4 ans expérience professionnelle (1 à 2 ans relevant)
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Freelance
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淡江大學
Spécialisation
企業管理學系
Stephen Yang
Data Geek. Two-year experience with data science/engineering.
Work Experience
Retail Business Services LLC(Ahold Delhaize), Data Engineering Co-op Jun 2023 ~ Now
- Improving search engines performance through MDM.
Validation on the pipelines to ensure data completeness in the downstream tasks. - Monitoring the changes on recommended items from cross-sell model. Building framework of data drifting detection, starting from data retrieval, modeling to statistical/hypothetical testing applied on inference data.
- Development of Intake process form app to Integrate ticketing requests from different teams.
Skillset : Databricks/Azure Data Factory/Power Automate/Power BI/ETL pipeline/Spark
Taipei Fubon Bank, Data Scientist(FinTech) Jan 2021 ~ Sep 2022
AI Early Warning Mechanism
- In collaboration with Taipei City Police Department and Criminal Investigation Bureau, aimed at combating surging fraud activities during the pandemic which involved multiple channels(ATM, Online, and Mobile banking).
- Development of ML model to detect potential AML activities and to further succeed in fraud prevention.
- Replaced rule-based triggering with ML-based application in criminal investigation; eliminated tens of thousands of false alarms in a single month, optimized precision up to 80%, and significantly cut operational costs.
- Promoted ‘intelligent anti-fraud ecosystem’ with Taipei City Government and was reported in Fubon Financial news: link
ETL Pipeline & Banking Business Analysis
- Built analytics platform managing client, finance data collected from upstreams and third parties sources(EC, Telecom) Built end-to-end pipelines for reporting.
Skillset : PySpark/Hadoop/Scikit-Learn/Flask API/Beautiful Soup/ODS/Hive/OBIEE/Tableau/GCP(GCS, Dataflow, VMs, Vertex AI)
Apple Daily, Data Analyst Apr 2020 ~ Aug 2020
- Digital tacking with GTM as sources for building ETL pipeline on GCP.
- BI reporting for assessing KPIs of news articles.
- Subscription analysis, churning prediction, and text mining
- Skillset : BigQuery/Data Studio/GA360/Google Analytics/GTM/NLTK/Scikit-Learn/LDA
Education
Boston University, Master of Science in Software Development(MSSD) 2023 ~ Present
Master program for developing essential skillset as software developer. Algorithm, Programming Language and System.
Arizona State University, AI and Machine Learning MasterTrack™ Feb 2021 ~ Dec 2021
Online Graduate Certificate Courses: Statistics, Machine Learning, Artificial Intelligence
Institute for Information Industry, Big Data Bootcamp Sep 2019 ~ Feb 2020
Training in big data and development skills and building end-to-end data projects with Python, MySQL and Hadoop.
Tamkang University, Bachelor of Business Administration(BBA) Sep 2013 ~ Jun 2017
Project & Competition
T-Brain Machine Learning Competition 2022 - Anti Money Laundering
Leveraging XGBoost(GBDT) combined with my ML fraud detection experience to succeed in this competition.
Hosted by : E.SUN Bank & TrendMicro (Rank : No.6)
GoDaddy - Microbusiness Density Forecasting Competition
The project is to demonstrate better performance on time series prediction with Optuna framework.
BIRDS 475 SPECIES - IMAGE CLASSIFICATION
Serving Image model as Streamlit web app on GKE. It allows the user to enter the image url link and display output.
Skillset: Streamlit, GKE, CloudBuild, Python, Git, Docker
Spotify ETL Pipeline
Building ETL for Spotify API and automate the workflows through Airflow. Analytics tasks executed with DBT on SnowFlake.
Skillset: Airflow, DBT, Snowflake, Python, Git, Astronomer, Docker
Skills
Machine Language：Python, PySpark, Tensorflow, PyTorch, SQL
Dashboard：Power BI, Tableau
Cloud Service : GCP, Azure, Cloudera
Development Tool: Docker, Jenkins, Git, Airflow, DBT
Certificate
Project Management Professional(PMP)
AI and Machine Learning MasterTrack® Certificate(ASU)
Google Cloud Certified - Professional Data Engineer
Stephen Yang
Data Geek. Two-year experience with data science/engineering.
Work Experience
Retail Business Services LLC(Ahold Delhaize), Data Engineering Co-op Jun 2023 ~ Now
- Improving search engines performance through MDM.
Validation on the pipelines to ensure data completeness in the downstream tasks. - Monitoring the changes on recommended items from cross-sell model. Building framework of data drifting detection, starting from data retrieval, modeling to statistical/hypothetical testing applied on inference data.
- Development of Intake process form app to Integrate ticketing requests from different teams.
Skillset : Databricks/Azure Data Factory/Power Automate/Power BI/ETL pipeline/Spark
Taipei Fubon Bank, Data Scientist(FinTech) Jan 2021 ~ Sep 2022
AI Early Warning Mechanism
- In collaboration with Taipei City Police Department and Criminal Investigation Bureau, aimed at combating surging fraud activities during the pandemic which involved multiple channels(ATM, Online, and Mobile banking).
- Development of ML model to detect potential AML activities and to further succeed in fraud prevention.
- Replaced rule-based triggering with ML-based application in criminal investigation; eliminated tens of thousands of false alarms in a single month, optimized precision up to 80%, and significantly cut operational costs.
- Promoted ‘intelligent anti-fraud ecosystem’ with Taipei City Government and was reported in Fubon Financial news: link
ETL Pipeline & Banking Business Analysis
- Built analytics platform managing client, finance data collected from upstreams and third parties sources(EC, Telecom) Built end-to-end pipelines for reporting.
Skillset : PySpark/Hadoop/Scikit-Learn/Flask API/Beautiful Soup/ODS/Hive/OBIEE/Tableau/GCP(GCS, Dataflow, VMs, Vertex AI)
Apple Daily, Data Analyst Apr 2020 ~ Aug 2020
- Digital tacking with GTM as sources for building ETL pipeline on GCP.
- BI reporting for assessing KPIs of news articles.
- Subscription analysis, churning prediction, and text mining
- Skillset : BigQuery/Data Studio/GA360/Google Analytics/GTM/NLTK/Scikit-Learn/LDA
Education
Boston University, Master of Science in Software Development(MSSD) 2023 ~ Present
Master program for developing essential skillset as software developer. Algorithm, Programming Language and System.
Arizona State University, AI and Machine Learning MasterTrack™ Feb 2021 ~ Dec 2021
Online Graduate Certificate Courses: Statistics, Machine Learning, Artificial Intelligence
Institute for Information Industry, Big Data Bootcamp Sep 2019 ~ Feb 2020
Training in big data and development skills and building end-to-end data projects with Python, MySQL and Hadoop.
Tamkang University, Bachelor of Business Administration(BBA) Sep 2013 ~ Jun 2017
Project & Competition
T-Brain Machine Learning Competition 2022 - Anti Money Laundering
Leveraging XGBoost(GBDT) combined with my ML fraud detection experience to succeed in this competition.
Hosted by : E.SUN Bank & TrendMicro (Rank : No.6)
GoDaddy - Microbusiness Density Forecasting Competition
The project is to demonstrate better performance on time series prediction with Optuna framework.
BIRDS 475 SPECIES - IMAGE CLASSIFICATION
Serving Image model as Streamlit web app on GKE. It allows the user to enter the image url link and display output.
Skillset: Streamlit, GKE, CloudBuild, Python, Git, Docker
Spotify ETL Pipeline
Building ETL for Spotify API and automate the workflows through Airflow. Analytics tasks executed with DBT on SnowFlake.
Skillset: Airflow, DBT, Snowflake, Python, Git, Astronomer, Docker
Skills
Machine Language：Python, PySpark, Tensorflow, PyTorch, SQL
Dashboard：Power BI, Tableau
Cloud Service : GCP, Azure, Cloudera
Development Tool: Docker, Jenkins, Git, Airflow, DBT
Certificate
Project Management Professional(PMP)
AI and Machine Learning MasterTrack® Certificate(ASU)
Google Cloud Certified - Professional Data Engineer