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後端工程師 & DevOps @創業家兄弟Kuobrothers Corp.
2022 ~ 2024
Senior Backend Engineer | DevOps | SRE
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AWS
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National Taipei University of Technology
資工系
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Consultant @Global Advanced IT Connections
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YAML
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Past
工程師 @博彥科技有限公司
2018 ~ 2023
後端工程師
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程,讓外籍員工也能輕易上手 巡檢系統 簡化巡檢相關流程,降低人工疏失造成風險 學歷 龍華科技大學 資訊網路工程 •Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. 技能 C、C++、golang lua、linux shell script mysql、postgresql、redis linux aws、docker、jenkis rabbitmq http、mqtt、grpc i2c、uart、spi 語言 English — 中階
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龍華科技大學
資訊網路工程
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Past
資深工程師 @17Life_康太數位整合股份有限公司
2020 ~ 2024
後端工程師、程式設計師、系統分析師
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上,到加入購物車與支付流程以及串發票廠商都有經驗。針對商品的限購與超賣,也有使用Redis的機制做限制。 2. 具有使用AWS的經驗:能以AWS服務進行Server的維運問題判斷與處理。 3. 有耐心理解現行程式運作流程,並加以調整與開發:支援全家APP
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台北大學
統計學系
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諸如金流 (藍新、Tappay、Line Pay 等)、物流 (Lalamove、全球快遞、GOGOX、多多快送 等)、電子發票 (盟立) 並且完成多個供應商的派車系統管理。 技能 Node.js, AWS, IaC(Terraform, AWS CDK, ansible), Docker, React, JavaScript, Github Action DevOps/SRE 於 2023 年九月開始自學 k8s,並於 11 月考取 CKAD 證照,並且也有了要從事 SRE 或是 DevOps 的中長期職
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server engineer @曉數碼
backend engineer
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余皓永(Aron Yu ) 擁有六年Ruby on Rails, 半年 Golang 及 Solidity(web3)開發經驗。注重可靠的單元測試,參與過多個網站開發,包括從零開始建立的專案。維護過超過1,000,000 RPM的流量的遊戲server。 具備DevOps技能和CI/CD流程經驗,涵蓋AWS、Docker、Jenkins、Ansible、GitHub Actions和Terraform等工具。以卓越的團隊合
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Ruby on Rails
Git
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4-6 years
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Manager @GOMAJI 夠麻吉
2017 ~ Present
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GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi. (2) Achievement: Boosted customer conversion rates by 2% through detailed customer profiles and targeted insights. 5.
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10-15 years
Shih Hsin University
Management Information Systems, General
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技術維運部經理 @紅心辣椒娛樂科技股份有限公司(台灣)
2008 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
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專案, 遊戲產品進程調優及商業化規劃 擁有專案管理師PMP認證, 技術團隊領導經驗 IT技術系統管理 Technical Leadership Enterprise Server Topology Architecture VM & Cloud Infrastructure (AWS, GCP, Azure...) Linux, Windows Server Administration Network and Security Administration Management Information System Linux, Windows 虛擬化環境建置 企業級IDC機房架構建置管理 容器化管理 資訊安全 工作經
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台北城市科技大學
電機
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主任工程師 @創奕能源科技股份有限公司
2023 ~ Present
軟體工程師
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Javascript(ES6)
Node.js
React.js
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10-15 years
大華科技大學
電子工程系
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Offline
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Senior Data Analyst @趨勢科技
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
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 SQL , R , Python and data analytics tools. Data Scientist, Data Analyst Taipei, Taiwan [email protected] Experience Sr. Data Analyst • TrendMicro NovNow 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
python
R
SQL
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4-6 years
輔仁大學 Fu Jen Catholic University
統計資訊學系

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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
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English
Fluent
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Positions
Data Scientist, Data Analyst, Machine Learning Engineer
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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