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Avatar of 陳韻如.
Avatar of 陳韻如.
Software Development Manager @聯禦科技有限公司
2023 ~ Present
PM/產品經理/專案管理
Within one month
行開發 技能 後端開發 • Python 七年使用經驗 • 熟悉 Flask, FastAPI 框架, 有使用過 Django • 熟悉 CI/CD (Gitlab, Jenkins), 假設過完整 CI/CD 流程 • 熟悉 Docker • 熟悉 RDBMS (MSSQL, MySQL) • 熟悉 NoSQL (MongoDB, DynamoDB) • 熟悉 Cache (Redis) • 熟悉 Queue (Celery, RabbitMQ) • 熟悉 WebSocket • 熟悉 Nginx • 熟悉 JWT, Oauth2, LDAP 等 Authentication • 熟悉 Git 版控及各分支權限 • 熟悉自動化測試 (Selenium) • 會撰
Python
Flask
FastAPI
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立台灣海洋大學
航運管理學系
Avatar of the user.
Avatar of the user.
Senior Software Engineer @Innova Solutions Taiwan
2022 ~ Present
Back-End / Full Stack Web Developer
Within one month
Android app Developer
Java
boostrap
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
Fu Jen Catholic University
Computer Science
Avatar of the user.
Avatar of the user.
Past
Senior Data Analyst @趨勢科技
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
python
R
SQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
統計資訊學系
Avatar of 楊長良.
Avatar of 楊長良.
經理 @信昌機械廠股份有限公司
2022 ~ Present
Manager
Within two months
相關前端網頁設計。後端WebAPI分析及開發。以及WebForm ,MVC網頁設計。也了解與其他系統資料交換WCF、EDI、WEBAPI等方式。 資料庫方面,我了解 MSSQL Server建置與Database 和 Table 設計,及Stored Procedure 、TSQL 語言,並熟悉資料庫效能調教。 Programmer 城市,TW [email protected] 技能 前端技術 JQuery, AJAX, HTML, CSS, Bootstrap, VueJS, MVC
C#.NET development
html + css + javascript
SQL Server
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立台中教育大學
測驗統計研究所
Avatar of the user.
Avatar of the user.
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
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
Avatar of 蕭尚韋.
Avatar of 蕭尚韋.
研發 @天心資訊開發股份有限公司台中分公司
2011 ~ Present
軟體開發工程師
Within one month
蕭尚韋 Chiayi City, [email protected] 工作經歷 研發 • 天心資訊開發股份有限公司台中分公司 五月Present | Taipei, Taiwan 研發客製化專案 學歷 國立台中科技大學 統計系 •語言 Chinese — 母語或雙語 資歷 ERP專案工程師 ERP顧問師 ERP客服 程式語言 C# Python Html + JavaScript + Css 資料庫 MSSQL Sqlite 使用
C#
Angular
MSSQL Server
Employed
Open to opportunities
Part-time / Remote Only
6-10 years
國立台中科技大學
統計系
Avatar of 蘇泓瑋.
Avatar of 蘇泓瑋.
軟體工程師 @毅泰成科技有限公司
2020 ~ Present
Software Engineer / Backend Engineer
Within one month
蘇泓瑋 對軟體、程式設計有高度興趣 Github 網站後段/前端、C/C++、C#、.NET相關程式設計/開發 [email protected] 主要技能 .NET 主要使用C#搭配.net framework SQL MS SQL Server資料庫管理 證照 經濟部初級資訊安全工程師 工作經歷 自動化控制器軟體客製
ASP.NET
C#
Web Form
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
義守大學 I-shou University
資訊工程系
Avatar of 吳家豪.
Avatar of 吳家豪.
助理工程師 @凌網科技股份有限公司
2017 ~ 2018
軟體工程師
Within three months
吳家豪 Software Engineer 新北市 技能 Tech Stack C# ASP.NET MVC Java WinForm CI/CD GitLab Umbraco Docker Data Base MS SQL Server PostgreSQL(pgAdmin4) Oracle(Toad) Version Control Git TortoiseSVN TFVC SourceSafe(VSS) 專案 工作經歷 資深軟體工程師 • 台達電子工業股份有限公司 2022/2~2023/9 1年8個月 -負責公司MES系列產品開發專案(C#,Web,WinForm) -開發過ECN、請
C#
Java
VB.NET
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立雲林科技大學
資訊工程系
Avatar of Simon Ting (丁宣宇).
Avatar of Simon Ting (丁宣宇).
Engineer @Trend Micro 趨勢科技
2022 ~ Present
DevOps Engineer
Within two months
Simon Ting (丁宣宇) TrendMicro Devops Engineer 5+ years experience in DevOps Engineer. Integrate auto test and auto deploy with . Experience in deploy micro service to docker or kubernetes. System monitor Logging Collection CI/CD( GitLab, Jenkins, Github Action) DB Operation Cloud Service 2+ Backend Develop 1996,Taipei,[email protected] 技能 Skills Programming Languages Python Shell Databases MySQL MongoDB MariaDB MSSQL Server Cloud Services AWS Cloudflare Web Services Nginx Apache Open Source Services Docker Kubernetes Elasticsearch Redis Prometheus Grafana Graylog Kibana Terraform Ansible Traefik Gitlab CI/CD Gitlab
Shell Script
Linux
CI/CD
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
高雄應用科技大學
資訊工程系
Avatar of Tom Jheng.
Avatar of Tom Jheng.
軟體設計工程師 @明瑞資通科技股份有限公司
2022 ~ 2023
JAVA後端工程師
Within one month
案: • React+SpringBoot+MyBatis+Gradle+MSSQL 2.LMS精實製造系統: • React+SpringBoot+MyBatis+Gradle+MSSQL/MYSQL 3.科技部駐點:SSH(Struts Spring Hibernate MSSQL) • JSP+Struts+Spring+Hibernate+MSSQL 敦陽科技股份有限公司, JAVA軟體工程師, 2019/11 ~ 2020/4 專案駐點人員,負責維運、CR修改、需求單修改。 • SpringMVC+MSSQL+JSP 世全塗料
Java
Spring Framework
RESTful
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
資策會
Java跨平台程式設計班

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Within one month
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