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4-6 years
6-10 years
10-15 years
More than 15 years
Taiwan
Consultant @Global Advanced IT Connections2024 ~ 2024
・
Product Owner, Business Analyst, System Analyst
Within one month
Samantha Jae Lipit Certified Professional Scrum Master and IT Business System Analyst with 10 years of experience driving successful software development projects. Proven ability to bridge the gap between business and IT through expertise in business process analysis, product development across various SDLC methodologies (Agile-Scrum, SAFe, Waterfall), project management, technical writing, and manual testing. Skilled in event organization. Taipei, Taiwan Work Experience IT Consultant • Global IT Connections MarchApril 2024 Roles: BUSINESS ANALYST Provided expertise in the following areas: • Business Process Analysis • User Story Creation • Release Management • Documentation QUALITY ANALYST • Provided expertise in both web and mobile
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Adamson University
・
Information Technology
Research And Development Engineer @Nityo Infotech2022 ~ Present
・
前端/後端/軟體/全端工程師
Within one month
F ront end Development JavaScipt jQuery CSS HTML React/Redux Angularjs Connect with Database JDBC Hibernate MyBatis RDBMS Oracle SQL Developer SQL SERVER MySQL Version Control System Git & Github SVN Other Maven Apache Ant Tomcat & JBOSS Docker CentOS & Rocky LINUX Report Studio Jaspersoftstudio Java POI Birt Cloud Platform Microsoft Azure AWS EC2 Work Experience R&D Nityo Infotech 四月PresentTaipei, Taiwan 在宏碁資訊(Acer AEB)內工作 主要負責政府單位的系統開發及維護作業。 參與專案升級再造作
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Asia University (TW)
・
媒體、傳播、新聞相關學科 
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Asia University of Taiwan 亞洲大學
・
數位媒體與設計學系
Offline
Offline
Past
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
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 OctNov 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
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Senior Software Engineer @Innova Solutions Taiwan2022 ~ Present
・
Back-End / Full Stack Web Developer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Fu Jen Catholic University
・
Computer Science
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
Within one month
learn C# EmguCV ASP.NET Windows Forms 程式設計開發、單元測試專案 Halcon 影像處理 影像定位 瑕疵判斷 物件量測 Skills Database MySQL Oracle ArangoDB LLM Tool:langchain Vector DB:Milvus API:AzureOpenai API、FastAPI MessageBus RabbitMQ TibcoRV Skills R language 數據分析 文字探勘 統計分析 Embedded System Raspberry pi Arduino NVIDIA Jetson AGX Xavier IDE Git: 版本管理、維護 Visual studio:.NET Windows Forms 開發 Pychram:python 專案
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
・
工業工程與管理學系所
運維工程師 DevOps @愛盛娛樂科技有限公司2019 ~ Present
・
Java 軟體工程師
Within one month
bot - 撰寫域名管理腳本，每日大量撈取並檢查公司不同平台的域名狀態，並回報備案、到期、封鎖等狀態 - 各大雲端平台 aws、aliyun、GCP、Azure 等操作 - 幫助客戶開發指定需求的專案、腳本程式 - 維護公司機房並保證其系統與網路運作 - 幫助客戶架設各種常見系統
Employed
・
Ready to interview
Full-time / Remote Only
4-6 years
National Kaohsiung First University of Science and Technology
・
電腦與通訊工程系Staff Software Engineer @全得資通有限公司2019 ~ Present
・
Staff software engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
The University of Auckland
・
Computer Science
Past
後端工程師 @Beyond Cars2023 ~ 2023
・
後端工程師
Within one month
Typescript) (Expert) Python (Familiar) Go (Familiar) front-end React.js (Familiar) HTML(Familiar) CSS (Beginner) Database MySQL (Familiar) PostgreSQL (Familiar) Redis (Beginner) MongoDB (Beginner) Others DevOps 1. Cloud AWS CloudFront Route53 RDS SES EC2 S3 ECR ECS Fargate Codepipeline Amplify WAF(Web ACLs) CloudWatch CloudTrail Trusted Advisor SDK Azure LB Terraform 2. Server Nginx Docker Tools Git /SourceTree(GUI) Git Flow Agile (Scrum) Github/GitLab/Bitbucket/AWS CodeCommit Linux command Asana/Trello/miro/Notion Gather/Slack ChatGPT/Bard draw.io/figma 自介 你好，我
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
工商心理學
Soft Engineer @銓鍇國際股份有限公司2023 ~ Present
・
java程式開發
Within one month
良好的溝通和融洽的團隊關係有助於提高工作效率和樂趣。 技能 後端 Java, python Javascript, Jquery Docker 前端 HTML5, JavaScript, CSS, jQuery, JSP Framework Spring Boot, Serverless, Mybatis Version Control GitHub, GitLab, Azure Git Database Oracle DB, MS SQL, Postgres, MongoDB Testing Tools Postman, Junit CI/CD GitLab, AzureDevOps AWS EC2, ECR, ECS, S3, Lambda, SSM, Athena, Route53, Api Gateway, RDS, DocumentDB.... Monitor Promethus, Grafana 工作經歷 銓鍇國際有限公司
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東南科技大學
・
資訊科技與通訊學系The Most Lightweight and Effective Recruiting Plan
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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
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Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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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