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.Net 工程師 @凱文科技 Kaven Technology
2023 ~ Present
軟體開發
Within one month
PHP
Laravel
C#
Employed
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Full-time / Interested in working remotely
4-6 years
國立台北科技大學
工業工程管理系
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Senior solution developer @Carrot Solutions
2021 ~ Present
Sr. Front-end, Project Manager
Within one month
React.js
HTML/CSS
Next.js
Employed
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Full-time / Remote Only
4-6 years
Politeknik Caltex Riau
Computer Science
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高級工程師 @不顯示公司名稱
2022 ~ Present
滲透測試、資訊安全、系統開發、程式設計
Within one month
黃榆翔 滲透測試 / 系統開發 MCP / ECSA 滲透測試、資訊安全、系統開發、程式設計 城市,TW [email protected] 學歷 立德大學, 碩士學位, 資訊工程, 2007 ~ 2009 技能 滲透測試 Kali, Metasploit, Burp etc. 系統開發 PHP, Laravel Framework, Python, Rust, Visual Basic .Net, JavaScript, JQuery, Vue, MySQL, MariaDB, SQL Server etc. 系統管理 Windows Server. 工
Active Directory
IIS
PHP
Employed
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10-15 years
立德大學
資訊工程
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Software Engineering Section Manager @仁寶
2023 ~ Present
Lead Designer, Senior Consultant, Design Manager
Within one month
Python
Docker
DevOps
Employed
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6-10 years
National Taipei University of Technology
電機系
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後端工程師 @美商時豪科技股份有限公司
2023 ~ Present
Golang Engineer
Within one month
程, 2011 ~ 2015 Skills About Web Development Golang 使用過的套件有gin、gorm、echo、fiber、cobra、colly、fasthttp、echo、protobuf、grpc、goose、chromedp、goquery、fx、zerolog、decimal... 理解並熟悉使用 goroutine、channel、interface、errors RDBMS MySQL、Postgres、DB2、Oracle、SQL Server 理解並熟悉使用transactions、index、partition、CTE、SP、View Cloud Platform GCP、Azure Java EE & JSP 後端熟悉spring + structs2 前端使用JavaScript、JQuery、StrutsTag、JSTL 去呈現前台頁面 MessageQueue 使用過NSQ、Redis
JAVA
spring
DB2
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6-10 years
東海大學
資訊工程
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軟體工程師 @NTT DATA Taiwan
2022 ~ Present
軟體工程師
Within one month
陳育成 Leo Chen 軟體工程師 Tainan City, Taiwan 具有六年網頁開發經驗 具備良好的團隊合作精神並能獨立解決問題 Tel:Email:[email protected] 技能 程式語言與框架 C# JavaScript Node.js PHP ASP.NET Core Vue.js Express.js Laravel 資料庫與版本控制 MySQL Microsoft SQL Server MongoDB Git 作業系統與雲端平台 Linux
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ASP.NET Core
JavaScript
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崑山科技大學
電腦與通訊系
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Past
Consultant @Freelance
2022 ~ Present
Senior Backend Engineer | DevOps | SRE
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降低開發成員維護成本。 前端經驗 ASP.NET MVC BootStrap RWD 響應式設計 JavaScript / JQuery / AJAX Sass / Scss 後端經驗 ASP.NET Web API 2 Entity Framework AutoMapper Json.NET SignalR SQL Server DevOps 經驗 IIS / Express / Nginx 安裝及調校 GitLab Server 安裝及調校 Azure DevOps Server 安裝及調校 Build Server 建置 CI / CD 設定與規劃 自動化測試 Docker 基礎
ASP.NET MVC
ASP.NET Web API
C#
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
淡江大學 Tamkang University
資訊工程
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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 ~ Present
Engineer, SA, SD, Data Analyst, PM
Within one month
關: C#、Java、Oracle SQL、Python、PL/SQL、webMethods&RosettaNet、VB6、VB.NET、VBA、WinForms、Windows Mobile、Dapper、DevExpress、NUnit、NLog、分散式系統 網頁相關: HTML、CSS、JavaScript、ASP.NET MVC、Web API、Web Service 版本控制: Azure DevOps Server 、Git、SVN、VSS 資料庫: Oracle DB、Oracle DB Gateways、SQL ServerSQLite 伺服器&虛擬化: IIS、Nginx、Windows Server、Windows CE、Solaris、VirtualBox ML&DL: YOLO、Darknet、Pandas、Seaborn 管理分析相關: 專案管理、IT治理服務
C#
Java
WebMethods
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
Industrial and Information Management
Avatar of Sean Lee.
Avatar of Sean Lee.
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司
2022 ~ Present
Software Developer
Within one month
Community Directory, Australia •Program and debug web applications, including front-end and back-end using ASP.NET framework and jQuery •Manage app services, virtual machines, online storage in Azure •Manage the code with Git, Azure DevOps. Make sure the code is clean, functional, and well-maintained •Maintain the SQL server and improve the data quality Demo Projects Backend - RESTFul API It is an API for a request system(like a customized jira), which has user management system, ticket system and approval system. It uses .NET API framework and works with MSSQL DB and the React.
JavaScript
ASP.NET MVC
HTML5
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Queensland University of Technology(昆士蘭科技大學)
Computer Science
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Avatar of 黃上溢.
系統工程師 @筑波醫電
2016 ~ Present
資深軟體工程師
Within one month
享使自己和團隊更進步更有效率。 工作技能 Tech Stack C# C++ C dot-net UWP WinForm HTML5 BootStrap JavaScript PowerShell Design Tools Gitea SourceTree Visual Studio Notion Trello Teams Jenkins Visual Studio Code Raspberry Pi ProgreSQL SQL Server 作品集 https://www.cakeresume.com/me/oldyellow125/portfolios 工作經驗 2016/07 - Now 系統工程師(兼任PM) 筑波醫電 2016//10 系統工程師 初期
C#
UWP
Winform
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10-15 years
交通大學
生醫工程暨資訊工程研究所

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Sr. data analyst@TrendMicro | Data Scientist | Business Analyst
Logo of 趨勢科技.
趨勢科技
2022 ~ Present
Taipei, 台灣
Professional Background
Current status
Unemployed
Job Search Progress
Ready to interview
Professions
Data Scientist, BI Engineer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
None
Skills
python
R
SQL
Git
HTML
CSS
JavaScript
Spark
HIVE
IMPALA
Web Crawler
AWS
Azure
GCP
Tableau
Power BI
Looker Studio
Docker
SAS
SPSS
Data Analytics
Business Analysis
Business Intelligence
Languages
English
Fluent
Job search preferences
Positions
Data Scientist, Data Analyst, Machine Learning Engineer
Job types
Full-time
Locations
台灣台北, 台灣新竹市, 台灣新竹縣, 台灣新北市, 台灣台北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
輔仁大學 Fu Jen Catholic University
Major
統計資訊學系
Print

Cathy Chen

Sr. Data Analyst

Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQLRPython and data analytics tools.


  Data Scientist, Data Analyst

  Taipei, Taiwan

  [email protected]

  0923126227


Work Experience

Sr. Data Analyst  •  TrendMicro

Nov 2022 - Now

  • Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard.
  • Cross app data tracking and user journey analysis.
  • VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile and have frequently engaged with the VisionOne for their operations.
  • Potential SOC customer tagging - use customer information to tag potential VisionOne SOC-like customers from the TrendMicro existing customer base. 
  • Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis.
  • VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data.

Skill : Microsoft SQL Server ·  Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes  ·  pySpark  ·  Git

Data Analyst  •  Bank SinoPac

Oct 2020 - Nov 2022

  • Personalized recommendation system on official website.
  • Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers.
  • Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods.
  • Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards.
  • Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis.
  • Developing automated web crawler on MMA website to collect ETF, fund, bond information.

Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning ·  IMPALA ·  HIVE ·  Git ·  Docker

Data Analyst  •  Catchplay

Apr 2020 - Oct 2020

  • Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the Indonesia marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function. 
  • Indonesia competitor analysis
  • Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM.
  • Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay. 
  • Genre Classification – Text Similarity
  • CATCHPLAY Recommendation System

Skill : Google BigQuery · R · Python · Google Analytics · Google Search Console · Web Crawling · machine learning

Machine Learning Engineer  •  人工智慧製造研究中心

Apr 2018 - Jan 2020

  • Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management.  
  • Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. The empirical result shows that the proposed approach has shown practical viability for increasing the packaging yield by 0.03%.
  • Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials. 
  • Development- Change Point Analysis 

Skill : Python · R · Shiny · HTML · CSS · Javascript · machine learning

Data Analyst  •  CADMEN

July 2016 - Jan 2018

  • Assist customers to collect data, build analytics model, data visualization and establish customized online dashboard.
  • Regularly conduct seminar,technical conferences and employee orientation. 
  • Assist SAS consultant to do POC. 
  • ITRI , Electronic and Optoelectronic System Research Lab - SAS consultant.
  • SPC and Root Cause Analysis System - The cooperative company is the top 20 electronic components supplier in Taiwan. The company’s main products are CPU heat sinks, fans and blowers, cooling. This project cooperates with QC department and System Thermal BU to help them collect and integrate multi-data table(production data, maintenance report , production order),develop ETL pipeline and customized online dashboard.

Skill : Python · R · Shiny · HTML · CSS · Javascript · SAS · JMP · machine learning

Education

Sep 2012 - Jun 2016

Fu Jen Catholic University

Department of Statistics and Information Science

Skills

Programming

Python

R

Spark

R shiny

SAS

HTML

CSS

Javascript

Database

My SQL

MS SQL Server

SQLite

IMPALA

HIVE

Azure Kusto (KQL)

Data Analytics Tools

Tableau

Power BI

Data Studio

Databricks

Azure dashboard

SPSS

Google Analytics

Google Search Console

Resume
Profile

Cathy Chen

Sr. Data Analyst

Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQLRPython and data analytics tools.


  Data Scientist, Data Analyst

  Taipei, Taiwan

  [email protected]

  0923126227


Work Experience

Sr. Data Analyst  •  TrendMicro

Nov 2022 - Now

  • Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard.
  • Cross app data tracking and user journey analysis.
  • VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile and have frequently engaged with the VisionOne for their operations.
  • Potential SOC customer tagging - use customer information to tag potential VisionOne SOC-like customers from the TrendMicro existing customer base. 
  • Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis.
  • VisionOne tree view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data.

Skill : Microsoft SQL Server ·  Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes  ·  pySpark  ·  Git

Data Analyst  •  Bank SinoPac

Oct 2020 - Nov 2022

  • Personalized recommendation system on official website.
  • Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers.
  • Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods.
  • Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards.
  • Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis.
  • Developing automated web crawler on MMA website to collect ETF, fund, bond information.

Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning ·  IMPALA ·  HIVE ·  Git ·  Docker

Data Analyst  •  Catchplay

Apr 2020 - Oct 2020

  • Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the Indonesia marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function. 
  • Indonesia competitor analysis
  • Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM.
  • Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay. 
  • Genre Classification – Text Similarity
  • CATCHPLAY Recommendation System

Skill : Google BigQuery · R · Python · Google Analytics · Google Search Console · Web Crawling · machine learning

Machine Learning Engineer  •  人工智慧製造研究中心

Apr 2018 - Jan 2020

  • Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management.  
  • Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. The empirical result shows that the proposed approach has shown practical viability for increasing the packaging yield by 0.03%.
  • Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials. 
  • Development- Change Point Analysis 

Skill : Python · R · Shiny · HTML · CSS · Javascript · machine learning

Data Analyst  •  CADMEN

July 2016 - Jan 2018

  • Assist customers to collect data, build analytics model, data visualization and establish customized online dashboard.
  • Regularly conduct seminar,technical conferences and employee orientation. 
  • Assist SAS consultant to do POC. 
  • ITRI , Electronic and Optoelectronic System Research Lab - SAS consultant.
  • SPC and Root Cause Analysis System - The cooperative company is the top 20 electronic components supplier in Taiwan. The company’s main products are CPU heat sinks, fans and blowers, cooling. This project cooperates with QC department and System Thermal BU to help them collect and integrate multi-data table(production data, maintenance report , production order),develop ETL pipeline and customized online dashboard.

Skill : Python · R · Shiny · HTML · CSS · Javascript · SAS · JMP · machine learning

Education

Sep 2012 - Jun 2016

Fu Jen Catholic University

Department of Statistics and Information Science

Skills

Programming

Python

R

Spark

R shiny

SAS

HTML

CSS

Javascript

Database

My SQL

MS SQL Server

SQLite

IMPALA

HIVE

Azure Kusto (KQL)

Data Analytics Tools

Tableau

Power BI

Data Studio

Databricks

Azure dashboard

SPSS

Google Analytics

Google Search Console