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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
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
Dans 1 mois
使用者資料，進行DAU/MAU等BA和DA分析，使用Tableau和Python製作Dashboard呈現結果 - 優化交友推薦系統並開發使用新的推薦演算法 - 建立data to Bigquery/Redis 的 pipeline分流舊有MongoDB資料庫減少MongoDB巔峰時流量負荷 - 利用使用者在APP上的行為模式資料建立Knowledge Graph NEITHNET Inc., 資料科
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
中國醫藥大學(China Medical University)
・
臨床醫學研究所
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Dans 1 mois
Achieved a 78% reduction in data storage requirements and significantly accelerated query speeds from hours to minutes through the seamless integration of lakehouse and data platforms. • Consult for business process automation using data techniques on loan, credit analysis and procurement process. • Design solutions for data leakage prevention and data security. • Implement end-to-end generative AI solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Taiwan University
・
Psychology
Team Lead/Senior Software Engineer @MEXC2022 ~ Présent
・
Software Engineer
Dans 1 mois
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
Backend Developer @Dcard 狄卡科技2017 ~ Présent
・
Backend Developer
Dans 1 mois
resources are in Github code management. Building the hiring process, start the engineer-level policy draft delivered by our CTO, interview assessment, and interview questions. Backend developer, Dcard, Jun– FebThe biggest social media app in Taiwan. ( App store ) This position works closely with the infrastructure team members, data scientists, and product managers. Dcard is the most popular social media app in Taiwan. Support data-team built data pipeline and data center for our home page recommendation system. Implemented dictionary compression utility for a high writing-load database with a 95% compression rate and 60
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
亞東技術學院
・
資訊管理
Staff Cloud Architect Enginner @域動行銷股份有限公司2023 ~ Présent
・
雲端工程師，雲端架構師，數據架構師
Dans 1 mois
Architect CKmates Responsible for AWS cloud architecture and solution design. AprJan 2023 Cloud Data Engineer SinYi Realty Inc. Responsible for Azure cloud architecture and Data ETL Pipeline development and management. JanApr 2022 Backend Engineer AnFu Solutions Inc. Responsible for AWS cloud environment management and architecture, ETL data cleaning, and Python API development. Project experience: House+ : Data cleaning process management, using Elastic Beanstalk in the AWS cloud environment to establish a data cleaning process pipeline. Model training process management, using Elastic Beanstalk in the AWS cloud environment to establish a model training process pipeline
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
輔仁大學
・
圖書資訊
技術主管 @極客普洛國際有限公司2022 ~ Présent
・
前端工程師、後端工程師
Dans 6 mois
Google Cloud Google Cloud Function Google Cloud Storage Firebase Google Map Google Analytics 工作經歷 天晴資訊有限公司, Full-Stack Developer, Jan 2020 ~ Now -- 工作內容 1. CMS design 2. API Gateway 3. CMS admin console 4. Data schema design 5. Pipeline test case 6. Service operation 7. Third party integration 碩果數位有限公司, Full-Stack Developer, Aug 2017 ~工作目標 1. 專案全站程式撰寫 (Node.js, PHP Laravel, Vue
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
清雲科技大學
・
資訊工程
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ Présent
・
Machine Learning Researcher / Engineer
Dans 1 mois
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Taiwan University
・
Graduate Institute of Communication EngineeringPast
Senior iOS developer @OpenNet 開網有限公司2020 ~ 2024
・
iOS Developer
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立臺北大學 National Taipei University
・
Business Administration
Past
Senior Backend Engineer @瑪黑家居選物股份有限公司2023 ~ Présent
・
Software Engineer / Backend Engineer
Dans 1 mois
marketing report and scheduling system. - Tech stack: Flask, Celery, Jinja2, Bootstrap, Gunicorn, Sqlalchemy, Git, Oracle, Redis, Azure. Requirement Analysis, System Design, Code Review, Online troubleshooting. 【CMS contributions】 ・New CMS makes team members work more smoothly and efficiently. ・Solve the problem of inefficiency and inconsistency on dumping data from the database. ・ Flexible resources usage using a distributed message queue system. AprilMay 2018 Software Engineer (Java) 聯合數位文創 udnfunlife 【Job description】 ・In charge of development, maintenance, and testing on an e-commerce platform named uDesign. ・Web page development for exhibition events
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立東華大學 | National Dong Hwa University
・
Global Logistics Management10 à 15 ans
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Dans 1 an
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology 台灣美光
・
2021 ~ Présent
Professional Background
Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Semiconductor Engineering, Data Scientist, Data Engineer
Fields of Employment
Semi-conducteur, Big Data
Expérience Professionnelle
2 à 4 ans
Management
None
Compétences
Langues
English
・
Professionnel
Japanese
・
Débutant
Job search preferences
Position Désirée
軟體工程師、影像處理工程師、AI處理工程師、演算法工程師
Type d'emploi
Temps plein
Lieu Désiré
Hsinchu, 新竹市台灣, Taichung, 台灣
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立台灣大學（National Taiwan University）
Spécialisation
CHING-SHUN CHAN
Senior Global DRAM QRA Data Analytics Engineer
With three+ years of semiconductor industry experience in the world's third-largest DRAM company, I have expertise in data science and analytics in FE and BE manufacturing including quality and reliability monitoring. I took the initiative to develop many innovative data analytic tools and reports for yield and quality enhancement and cooperated with international teams by providing insightful and complicated analyses precisely and timely, achieving the best quality awards recognized by our critical customers.
Taichung City, Taiwan
Experience
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology Taiwan • JUL 2021 - Present
Focus on Big Data Analytics, Algorithms, and Analytic Tool development, monitoring the quality and reliability of critical products for the world's third-largest DRAM manufacturer.
- Take initiative to propose and develop tools for quality and yield enhancement.
- Developed an effective algorithm to detect quality and reliability issues. One submitted paper was selected and recommended in an internal technical forum.
- Built a Spark-based data tool to reduce analysis time from hours to 10 minutes.
- Reduced the 99% execution time of existing analytical tools from 2.5 hours to only one minute with computer science knowledge.
- Solve quality and reliability issues via cross-national data communications.
- Handle Big Data to provide complicated data analytics in a timely manner for large events with a business impact of hundreds of millions USD.
- Create web-based interactive reports for smooth data communication.
Test Data Science Engineer
Micron Technology Taiwan • AUG 2018 - JUN 2021
- Built multiple ETL pipelines to transform IC test data (in plain text) into structured data for further deep business analysis.
- Developed a pipeline framework for team use that expedites data collection four times faster than the traditional way.
- Created many yield, quality, and operation monitor reports.
- Took initiative to explore innovative methodologies for yield enhancement and scrap reduction.
- Developed an interactive web report for test log viewing, integrating multiple data sources into an organized page for comprehensive data insights. Introduced to more than 35 internal teams, greatly simplifying engineers' workflow and reducing issue investigation time from days to minutes.
- Developed an algorithm for critical parts issue detection. For a particular manufacturing process, this algorithm enhances a 6% yield and reduces 80% of issues for these parts. It also promotes the collaboration of hardware development and repair teams to build a robust procedure for parts inspection and repair.
Education
2016 - 2018
National Taiwan University
Master of Engineering: Fluid Mechanics
2012 - 2016
National Taiwan University
Bachelor of Science: Engineering Science and Ocean Engineering
Honors and Awards
2021
Micron Technology Taiwan
Global Assembly & Test Seminar Forth Place Poster
Skill Highlights
Programming Languages
- Python
- C++
- R
- SQL
- HTML/CSS/JavaScript
Industrial Knowledge
- Semiconductor product/manufacturing
- Quality and Reliability Engineering
- Data structures and Algorithms
- Data Mining
- Statistics
Web Development
Tools
- Airflow
- GCP
- Hadoop Ecosystem
- JMP/Tableau
- Jupyter Lab
- Postgre SQL/SQL Server/Snowflake
- RabbitMQ
CHING-SHUN CHAN
Senior Global DRAM QRA Data Analytics Engineer
With three+ years of semiconductor industry experience in the world's third-largest DRAM company, I have expertise in data science and analytics in FE and BE manufacturing including quality and reliability monitoring. I took the initiative to develop many innovative data analytic tools and reports for yield and quality enhancement and cooperated with international teams by providing insightful and complicated analyses precisely and timely, achieving the best quality awards recognized by our critical customers.
Taichung City, Taiwan
Experience
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology Taiwan • JUL 2021 - Present
Focus on Big Data Analytics, Algorithms, and Analytic Tool development, monitoring the quality and reliability of critical products for the world's third-largest DRAM manufacturer.
- Take initiative to propose and develop tools for quality and yield enhancement.
- Developed an effective algorithm to detect quality and reliability issues. One submitted paper was selected and recommended in an internal technical forum.
- Built a Spark-based data tool to reduce analysis time from hours to 10 minutes.
- Reduced the 99% execution time of existing analytical tools from 2.5 hours to only one minute with computer science knowledge.
- Solve quality and reliability issues via cross-national data communications.
- Handle Big Data to provide complicated data analytics in a timely manner for large events with a business impact of hundreds of millions USD.
- Create web-based interactive reports for smooth data communication.
Test Data Science Engineer
Micron Technology Taiwan • AUG 2018 - JUN 2021
- Built multiple ETL pipelines to transform IC test data (in plain text) into structured data for further deep business analysis.
- Developed a pipeline framework for team use that expedites data collection four times faster than the traditional way.
- Created many yield, quality, and operation monitor reports.
- Took initiative to explore innovative methodologies for yield enhancement and scrap reduction.
- Developed an interactive web report for test log viewing, integrating multiple data sources into an organized page for comprehensive data insights. Introduced to more than 35 internal teams, greatly simplifying engineers' workflow and reducing issue investigation time from days to minutes.
- Developed an algorithm for critical parts issue detection. For a particular manufacturing process, this algorithm enhances a 6% yield and reduces 80% of issues for these parts. It also promotes the collaboration of hardware development and repair teams to build a robust procedure for parts inspection and repair.
Education
2016 - 2018
National Taiwan University
Master of Engineering: Fluid Mechanics
2012 - 2016
National Taiwan University
Bachelor of Science: Engineering Science and Ocean Engineering
Honors and Awards
2021
Micron Technology Taiwan
Global Assembly & Test Seminar Forth Place Poster
Skill Highlights
Programming Languages
- Python
- C++
- R
- SQL
- HTML/CSS/JavaScript
Industrial Knowledge
- Semiconductor product/manufacturing
- Quality and Reliability Engineering
- Data structures and Algorithms
- Data Mining
- Statistics
Web Development
Tools
- Airflow
- GCP
- Hadoop Ecosystem
- JMP/Tableau
- Jupyter Lab
- Postgre SQL/SQL Server/Snowflake
- RabbitMQ