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口碑行銷副理 @傑思愛德威媒體股份有限公司
2021 ~ 2024
專案管理師/專案經理/產品經理/行銷企劃
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Word
PowerPoint
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輔仁大學 Fu Jen Catholic University
影像傳播學系
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Sr. Full Stack Engineer @類神經網路股份有限公司
2021 ~ Present
資深程式設計師
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Android
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輔仁大學 Fu Jen Catholic University
Computer Science and Information Engineering
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工程師 @3乂數碼科技
2006 ~ Present
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個星期至一個月左右學習評估 除美術外工作項目全包,包含主機升級維護 工作成品網址 https://www.vfhhu.xyz/work/ 學歷 Fu Jen Catholic University 資工 • AprJan 2020 Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. 技能 Android: bt,ble,nfc,socket,rs232,wifi...等接口串接讀寫 gps
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Fu Jen Catholic University
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營運副理 @Ace Exchange 王牌數位創新股份有限公司
2022 ~ Present
市場開發、營運主管、專案經理
Within one month
Blockchain
CEX
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4-6 years
輔仁大學 Fu Jen Catholic University
企業管理
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QA automation engineer / Software development engineer in test
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and communicate well in any cross-functional teams. Skill Good at test planning, defined test strategy, implementing test plan and test cases also build up the test environment. Issue feedback and reporting, bug tracking and data analyzing. Program: Python, My SQL, Google Data Studio, ADB commands Education Fu Jen Catholic University~Master of Science i n Applied Statistics Fu Jen Catholic University~Bachelor of Statistics and Information Science Work Experience Google-PTE (Pixel Testing Engineer Team/01~2023/03) NOVMAR 2023 Pixel Acoustics Automation Test Development Acoustics automation and benchmark testing for PixelDesigned the test
Unemployed
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6-10 years
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倉管人員 @plain-me_樸然子股份有限公司
2017 ~ 2022
美編人員、行銷企劃人員、行政門市服務人員、業務
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客服人員 • 悠遊卡股份有限公司 十一月二月 2015 .電話客服 .悠遊卡銷售、記名服務 電商平台美編 • 達步施企業股份有限公司 一月三月 2013 .電商平台照片編修 .棚拍攝影協助 學歷 輔仁大學 Fu Jen Catholic University 哲學技能 Word Excel Canva Microsoft Office Photoshop PowerPoint Google Drive Illustrator 語言 Chinese — 專業 English — 初階
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Canva
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4-6 years
輔仁大學 Fu Jen Catholic University
哲學
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Past
行銷企劃(巢家居) @日日商業股份有限公司
2018 ~ 2023
品牌專案企劃、網路行銷企劃、數位行銷企劃
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安排商品加價購和禮盒組合等獨家活動。 - 創下門市開店最高銷售紀錄,展現卓越的企劃和執行能力。 學歷天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY 義大利語文學系 專案 連鎖餐飲品牌廣告商直播專案 ●成效:廠商反饋以廣告方式露出中最好的銷量 ●擔任節
Word
PowerPoint
Excel
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6-10 years
天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY
義大利語文學系
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Past
人資部副理 @倉和股份有限公司
2023 ~ 2024
人力資源相關
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Genehuang Tsai Full Function HR l 乙級就業服務技術士 l 資訊管理 l EMBA I am Tsai.ChunHuang with management experience in the field of information and human resources management. Taoyuan City, [email protected] https://www.linkedin.com/in/chunhuang-t-aa624953/ 工作經歷 一月三月 2024 Taipei, Taiwan 人資部副理 倉和股份有限公司 主要工作:薪資報酬委員會、督
Word
PowerPoint
Excel
Unemployed
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Full-time / Interested in working remotely
More than 15 years
Fu Jen Catholic University
Business Administration
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Avatar of 黃舜華.
Past
品牌視覺設計 @緹威國際有限公司
2022 ~ 2024
平面設計、視覺設計師
Within one month
Huang shun hua 平面視覺設計師 Taiwan 打造品牌形象並推廣,強化商品優點,增加轉換率。 設計能夠幫助我們快速理解一項產品的優缺點,更能快速抓準消費客群需要的的問題。 有行銷、廣告美學方面的經驗。 Shun hua 作品集 Design Tools Illustrator Photoshop lightroom indesign 工作經歷 2022//2 品牌
Illustrator
Photoshop
Excel
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4-6 years
天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY
大眾傳播系
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Avatar of Doreen Tang.
Past
產品經理PM Product Manager @轉客來策略行銷顧問有限公司
2020 ~ 2024
PM, 數據分析師, 廣告優化師
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的成績。 - 累積半年電話客服經驗後,經主管推薦挑戰服務難度較高的線上客服職務。 - 擔任Mentor協助新人旁聽學習、提問,並快速適應新環境。 學歷Fu Jen Catholic University 企業管理學系Tamkang University 企業管理學系 技能 Digital Marketing Data Analysis Product & Project Management Problem Solving Skills Communication Skills 語言 Chinese — 母語或雙語 English — 中階
Microsoft Office
Canva
ClickUp
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6-10 years
Fu Jen Catholic University
企業管理學系

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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