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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Past
Breeze Couture Marketing Specialist 微風代理精品 行銷企劃 @微風集團 Breeze Department Store2022 ~ 2022
・
Marketing/ PR Specialist/ Event planner
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Queen Mary University of London
・
MarketingUnemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
揚州大學
・
數學與統計學
Offline
Offline
Past
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
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
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
Within one month
料處理人員 • 柏克市場研究顧問股份有限公司 NovSep 2009 這份工作是針對得到的市調資料，寫程式來檢查資料的邏輯性，再根據研究員要求的報表需求，寫出所需的報表程式，如果有特殊檢定需求，會再用SPSS加跑特殊報表。 學歷 SepJun 2008 臺北大學 統計學系
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台北大學
・
統計學系
Past
行銷企劃專員 (約聘實習) @新加坡商邁盛絡國際企業有限公司 Maxonrow2019 ~ 2019
・
主管特別助理、財務分析／財務人員、行銷企劃人員、活動企劃人員、網站行銷企劃
Within one month
(Ike)Wen-Cheng Huang the Chairman's Assistant Taipei City, Taiwan 有將近10年的經營管理經驗，在台灣外商YMCA，擔任國際英語教師一 職，之後以職務資歷，以及Native English Speaker的能力，在雙連幼兒園擔任外師講師 的組長。2018考取政治大學商學院的International NBA。就學期間2018~2021就讀期間，半工半讀擔任教
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立政治大學
・
Marketing
Past
Industrial Engineer @鴻海精密工業股份有限公司2019 ~ 2023
・
Data Analyst 數據分析師 / Data Scientist 資料科學家
Within one month
吳俊瑩 Dani el 資料科學家/ AI專案管理/ IE工程師 ·4年網通智能製造經驗，負責工業4.0數位轉型專案 ·統計背景、對數字高度敏銳，能夠有效運用數據 ·思緒縝密、規劃能力強，領導團隊朝目標推進 ·積極主動、學習能力佳，持續吸收新知識 danielwu0221@protonmail
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北大學 National Taipei University
・
經濟學
國際事務專員_韓國組 @知名科技業2023 ~ Present
・
Within one month
海蒂 헤디 韓文看起來像是OOXX好像很難學? 很想知道撒啷嘿、歐都K...常聽到的 韓文到底怎麼正確發音嗎? 或是學一學發現自己開口還是 很不順，感到瓶頸嗎? 你們的心聲 老師真的都懂!! 從完全零基礎到日常生活用語 想學什麼 就教什麼 完全
Employed
・
Open to opportunities
Part-time / Interested in working remotely
6-10 years
國立臺灣師範大學
・
資訊教育研究所
公關 @PressPlay_瑞奧股份有限公司2023 ~ Present
・
行銷企劃、品牌行銷、品牌公關
Within two months
虧轉盈，為社團節省30%支出費用 技能 專業證照 - 國際行銷初級人才認證檢定 - 企業資源規劃師認證檢定 - 金融市場常識與職業道德合格證書 - 人身保險業務員合格證書 - Google Analytics 語言能力 - 中文 母語 - 英文 精通 - 日文 入門 - 西文 入門 擅長工具 - Microsoft Word、Excel、PowerPoint - SPSS、POS
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Southampton
・
Fashion Marketing and BrandingEmployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
淡江大學
・
資訊管理
Senior Associate @Shopee 新加坡商蝦皮娛樂電商有限公司台灣分公司2020 ~ Present
・
兼職
Within two months
室，半學期 收發公文 校對履歷表 keyin 資料 (Ex: 鐘點紀錄、教師職員資料) 技能 軟體應用 - Word、PowerPoint熟練使用 - Excel 基本表格算式熟練使用 - SPSS 初階使用，學習中 - Adobe Photoshop 初階使用，學習中 - 威力導演 初階使用，學習中 - 中、英文打字 25/min 專業證照 -中華民國全國商業總會
Employed
・
Open to opportunities
Part-time / Remote Only
4-6 years
玄奘大學
・
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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.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within one month
Sr. data analyst@TrendMicro | Data Scientist | Business Analyst
趨勢科技
・
2022 ~ Present
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
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
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
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
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
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