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4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical EngineeringPast
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
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 engineer @Chicony Electronics Co, Ltd.2018 ~ Present
・
全端工程師、後端工程師、前端工程師、軟體專案主管、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineeringData Science Competition Participant @Self-Employed2020 ~ Present
・
資料科學家
Within one month
Studying
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National University of Singapore
・
Department of building
Firmware Engineer @Lanner Electronics Inc.2021 ~ Present
・
Firmware Engineer, Firmware Developer, Embedded Software Engineer
Within one month
and a Bachelor’s degree in Electronic Engineering from the NKFUST. Proficient in firmware development using C, with hands-on experience in Embedded Linux System, MCU and Linux System, such as the OOB solution(on NUC980), Platform software Package, and FreeRTOS(on STM32) . comprehended to Python, TensorFlow, and machine learning concepts during university studies. Furthermore, I have proven track record of independently tackling challenging technical projects and embracing new technologies. I am passionate about continuous learning and self-improvement, as evidenced by my engagement in OOB solution, FreeRTOS, Yocto Linux kernel and machine learning with Python
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學（原國立高雄第一科技大學）
・
電子工程
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技2022 ~ 2023
・
資料科學家、資料科學工程師、機器學習工程師
Within one month
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
大氣科學所
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司2022 ~ Present
・
AI Engineer
Within one month
retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
・
Business Administration
Cloud Solution Architect
Within two months
improve custo mer targeting, efficiency of back-office operations, and reduced costs through AWS IoT, Big Data, and Machine Learning solutions # AWS IoT Core, AWS IoT Event, AWS IoT Analytics, AWS Greengrass, AWS Glue, AWS Kinesis Service, AWS S3, AWS API Gateway, AWS lambda, AWS Step Function Design hands-on tutorials for the training course - AWS solutions architect, security, Develop, IoT, big data, and Machine Learning tutorials - Azure solutions architect Develop and Design patten for e-learning platform - Designed strict lab policy for e-learning platform lab and reducing 75% of the total cost - Azure pat...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺灣科技大學
・
資訊管理
Data engineer @H2 Inc.2021 ~ Present
・
AI engineer, ML engineer, data scientist
Within three months
相對應的數據分析 - 針對不同 project 進行 exploratory data analysis 分析 AI 工程師 • 林口長庚醫院-AI core lab 六月三月 2021 【建置 AI 模型與應用】 - 利用 AI deep learning CNN models，解決醫療領域的問題 - 利用機器學習方法輔助解決醫療領域問題 - 搭配 Linux bash shell 幫助 AI 模型的運行 1. Corneal ulcer - 建立 two
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清華大學
・
動力機械工程學系The Most Lightweight and Effective Recruiting Plan
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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
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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