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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
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
Within one month
誌排版設計等。 Assistant Engineer 助理工程師 • 荷蘭商萊博智科技股份有限公司台灣分公司//6) 多媒體內容本地化(Localization)專案執行，包含影音/圖像編輯、專案管理與海內外跨部門溝通。 學歷 輔仁大學 Fu Jen Catholic University 影像傳播學系語言 Chinese — 母語或雙語 English — 中階 Japanese — 初階
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
影像傳播學系
視覺設計師 @哇寶國際資訊股份有限公司2022 ~ Present
・
品牌設計師、視覺設計師、網頁設計師
Within one month
作物。 二月七月 2014 視覺設計師 精準策略行銷 1.品牌行銷視覺製作。 2.規劃品牌行銷概念與視覺創意策略。 學歷 天主教輔仁大學 應用美術研究所國立臺灣藝術大學 圖文傳播藝術學系技能 視覺設計 根據使用需求、目標、品牌形象、媒介、傳達內
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY
・
大眾傳播系Past
Account Manager @Influenxio 圈圈科技有限公司2022 ~ 2023
・
行銷、活動、產品企劃；公關、廣告行銷等資深專員或中階行企主管
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學
・
大眾傳播Past
Data Analyst @趨勢科技 TrendMicro2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY
・
金融所
專案管理師 @華立企業股份有限公司2023 ~ Present
・
後端工程師/軟體工程師
Within one month
程式設計、程式分析。 ProArt 網站 專案角色 : RD 職 掌 : 資料庫分析與設計、程式設計、程式分析。 學歷 元智大學 資訊傳播 2010/09~2012/07 輔仁大學 資訊工程 2005/09~2010/07 技能 Back-end C# / PHP Front-end Html / CSS / Javascript / JQuery / Bootstrap Database MS-SQL / MYSQL Framework ASP.NET MVC5 / ASP.NET CORE / Laravel
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
元智大學 Yuan Ze University
・
資訊傳播
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
長紀錄，入職3個月內即帶領超過20人的團隊，締造破百萬營業額 團隊最高單月營業額超過2,000,000元 團隊成員遍及美國、加拿大、西班牙、日本、韓國、印尼、菲律賓等國家 學歷 輔仁大學 Fu Jen Catholic University 企業管理技能 Blockchain CEX Sales Operations Management 語言 Chinese — 母語或雙語 English — 專業
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
企業管理
Past
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
Within one month
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
哲學
Past
後端工程師 @Beyond Cars2023 ~ 2023
・
後端工程師
Within one month
曾敏昇 (Joe) 在6年多的工程師職涯中擔任Back-end並兼任DevOps居多，後端擅長語言為node.js(expree.js)，RDBMS為MySQL與PostgresSQL。 DevOps擅長使用容器化技術(Docker)建立Serverless架構並應用CI/CD服務(AWSCodePipeline)達到自動化部屬及運用AWS ECS管理與擴展容器。 性格率直正向善溝通， 追求自我
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
工商心理學
Sr. Full Stack Engineer @類神經網路股份有限公司2021 ~ Present
・
資深程式設計師
Within one month
Ryan Shen Sr. Fullstack Engineer Taipei City, Taiwan Hi, I'm Ryan! I'm working as a web developer and I have 6 years of working experience as an engineer. I specialize in web development, code maintainability, and fundamentals of programming languages. [email protected] Work Experience Sr. Full Stack Engineer • 類神經網路股份有限公司 SepPresent Angular/Node.js/TypeScript/ Flutter /Docker/Firebase/MySQL/GCP 1. Built and maintained website management consoles in Angular to help shop owners
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information EngineeringThe Most Lightweight and Effective Recruiting Plan
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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