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4-6 years
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資深資料工程師 @緯創資通股份有限公司2020 ~ Present
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst、Solution Architect、Cloud Architect
Within one month
李孟霖 數位轉型，進行行政作業流程優化、協助企業快速掌握數據價值。 ● 最新經歷：緯創資通股份有限公司 人力資源數位轉型 資深數據分析師 ● 經歷：財團法人中衛發展中心 資料分析師顧問 ● 證書：Wistron Data Engineer證書；PJ法L1證書 年資：4 年 10 個月 職
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
・
工業工程與管理學所
商業分析師 @凱基商業銀行股份有限公司2021 ~ Present
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
數位內容Assistant Customer Service Manager @Lalamove小蜂鳥國際物流有限公司2022 ~ Present
・
Customer Service Manager
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Providence University
・
Mass Communication
Devolopment Assistant Manager @Jardine Restaurant Group2023 ~ Present
・
系統分析師
Within one month
Group AprilPresent Led team for effective collaboration. Specialized in requirements gathering, system analysis, process design, and vendor management. Oversaw vendor requirements and ensured diligent development supervision. Designed system architectures for operational efficiency. Senior Software Engineer • Jardine Restaurant Group MarchApril 2023 Maintained and optimized existing project and customer experience systems. Facilitated the reintegration of outsourced systems, resolving critical issues with limited resources. System Engineer • International Integrated Systems, Inc. MayMarch 2021 I analyzed requirements, designed system architectures, and efficiently allocated tasks for effective project execution. I played a pivotal role in planning and coordinating
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
Providence University
・
資訊管理學系
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Wan-Ling (Lyn), Chen CAREER SUMMARY 7 years of diverse data and AI experience in engineering and advisory roles across varied industries. Provided end-to-end advisory on data and AI solutions, covering data platforms, lakehouse architecture, data security & LLM. Led PoCs delivery, solution design, and workshop execution for clients' digital transformation. Managed data architecture across 70 global offices, demonstrating adaptability in complex data landscapes. Actively participated in projects addressing board portfolios such as data and AI, security, and automation. Achieved a 76.6% revenue boost through strategic volume monetization. Goal-oriented, curious
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychology
Business Strategy Consultant @Self-employed2018 ~ Present
・
Business Transformation Manager
Within six months
as a keynote speaker on business transformation and marketing and represents companies' interests in tenders and international business conferences. Fields Business Transformation Project / Product Management Digital Marketing Strategy Skills Business Strategy Program Management Business Transformation Brand Positioning Strategies Languages English - Native or Bilingual Russian - Native or Bilingual Work Experience MarchPresent Business Strategy Consultant Self-employed London Optimised customer service and operational processes: CRM, UX and the customer service improvement for a real estate company in Chiswick, London; Saved over £600K for a development company in Sheffield by setting up planning and procurement; FMCG retail start-up launched across
Employed
Full-time / Interested in working remotely
More than 15 years
Various PMP certifications
・
Information Technology & Project Management
Senior Data Scientist @TeamViewer GmbH2021 ~ Present
・
Data Scientist
Within one month
Nikhil Kumar Jha Senior Data Scientist A full-stack data science professional with 7+ years of work experience, who enjoys developing end-to-end data science solutions to provide valuable insights and support data-driven decision-making. Ample experience collaborating with stakeholders to identify and gather project requirements, communicating findings, and contribute to other aspects of project management. Berlin, Germany Work Experience Senior Data Scientist • TeamViewer, Berlin OctoberPresent - Leading and coordinating development of different cross-team BI and Data Science projects. - Develop, implement, and automating deployment of ETL workflows using DBT and Redshift DWH. - Competitive
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Paderborn
・
Computer Engineering
Senior Specialist @宏碁股份有限公司2019 ~ Present
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
tool to present data visualization. Also familiar with BigQuery, Amazon and Google Analytics system. Use ML tools to observe therelated variables from the data, design variables, model, and analyze the prediction results. Tool Skill Python、R、Pyspark、SQL server、Jupyter、BigQuery、AWS、Google Analytics、Data Studio Professional Experience Acer Incorporated, Senior Data Specialist , Jul 2019 ~ NOW Market Insight and Business Intelligence Div. GFK.NPD.ICT Data Integration And Provides Insight Use sales data to design a dashboard, and can judge the business sales's KPI in each region. Find out Acer's Market
Employed
Full-time / Interested in working remotely
4-6 years
國立交通大學
・
統計學Customer Operation Specialist @AlfredCamera 阿福管家2021 ~ 2023
・
UI/UX Designer / Product Designer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
Brigham Young University - Hawaii
・
Communications, Digital Humanities , International Cultural Studies 
Customer Service, Integration Officer @H&M Transport2022 ~ Present
・
Project Manager
More than one year
Juan Aguilar Project Manager/ Graphic Designer/ Fullstack Project Manager/Ux and UI Designer / Full-stack Developer / Graphic Designer with more than 6 years of experience in the field of retail, my biggest achievement is the implementation of a Computer Vision Project in more than 170 Supermarkets in Ecuador, and the automation of processes in my job environment Cuenca, Ecuador Skills Tech Stack Python SQL R FTP's Jenkins Design Tools Illustrator Photoshop Sketch Figma Invision Work Experience Customer Service, Integration Officer H&M Transport eneroPresent Virginia, USA In charge of the routing system Backend & Customer
Full-time / Remote Only
4-6 years
Crehana
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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.
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Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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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