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Technical Consultant - IoT & Edge Computing @IBM Taiwan2021 ~ Présent
・
Front-End Developer
Dans 1 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
中原大學 Chung Yuan Christian University
・
資訊工程
Past
Product Specialist @老達利貿易股份有限公司(Canon Medical)2016 ~ 2019
・
Dans 2 mois
period) • Gallant Precision Machining Co., Ltd. (GPM 均豪精密) SeptemberFebruary 2021 •Optimize Programming for AOI to meet customer need. •Deploy artificial-intelligence machine learning models on AOI tools to reduce over-rejection. •Monitor and analyze data output and make data driven decisions to keep process in control, assess equipment performance leading to over-rejection. Product Specialist and Sales Representative • 老達利貿易股份有限公司(Canon Medical) AugustMarch 2019 Product Specialist(09//2019) •Created informational and engaging presentations of product lines to demonstrate features for new
Sans Emploi
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Ouvert à de nouvelles opportunités
Temps plein / Je ne suis pas intéressé par le travail à distance
4 à 6 ans
National Tsing Hua University
・
Mechanical Engineering
Consulting: optical systems, electrical and magnetic materials
Plus d'1 an
Thomas Disselkamp Active Citizen with Many Pursuits, Community Ties A product development specialist in the 3M Company's Infection Prevention Division, Thomas Disselkamp has taken the lead on many important corporate projects. Across a nearly 30-year career, Tom Disselkamp has earned expertise in several areas, such as infrared and ultraviolet optics, signal processing, medical diagnostic equipment, and polarimetry. However, outside of work, Thomas Allen Disselkamp pursues many activities and hobbies and devotes himself to several charities. Outdoors and around the home, Disselkamp enjoys vegetable gardening, repair projects, and landscaping. Cutting and carrying firewood is a
Ouvert à de nouvelles opportunités
Temps partiel
Plus de 15 ans
University of Minnesota, Minneapolis MN
・
Bachelor of Science in Electrical Engineering, emphasis on materials science
Process Integration Engineer @Taiwan Semiconductor Manufacturing Company2014 ~ Présent
・
Product Engineer
Dans 1 an
products). Successfully improve product yield through data analysis and DOE, and enhance process tolerance. "Teamwork" is very important to me both in the graduate school and in the company. I hope that I have opportunity to try my best for your company with my extensive experience. Process Integration Engineer, TSMC, Tainan, Taiwan [email protected] Semiconductor (5nm~90nm) Device engineering Semiconductor Process WAT Analysis Yield Analysis Process Quality Test Manufacturing Statistical Process Control (SPC) Cp/Cpk Failure Mode and Effects Analysis (FMEA) Design of Experiments (DOE) PDCA 3-Leg-5-Why 8D Pareto
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Cheng Kung University
・
Electrical Engineering
Director of Quality @LNR
Regional Manager/Director of Quality, Damage Prevention and Safety
Plus d'1 an
an estimated 1.5 million which improved quality. Investigated bay area flood table issues helping to avoid catastrophic vehicle losses Managed a facility to include 3 staff and 18 drivers injury free for more than 1000 days. Risk Management : Drug, Alcohol, & Harassment in the workplace Safety Coordinator SPC ( Statistical, Process, Control) Q1 ( Ford) GRASP USDOT Motor Carrier Safety Compliance Eastern Michigan University : SPC for Service & Administrative Processes J.J. Keller : Safety Coordinator Certification Course Experience Director of Quality and Safety LNR Auto Transport 02//2018 Successfully saved over $280,000 in damage claims
Temps plein / Intéressé par le travail à distance
Plus de 15 ans
Solano Community College
・
AA in General Studies with some Management course workPast
Seller @Sell MAP Ltd (Shopee)2022 ~ 2024
・
主任工程師
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
大葉大學 DaYeh University
・
電機工程學系Supplier Development Engineer @Olympus Global2018 ~ 2022
・
Dans 1 mois
Temps plein / Intéressé par le travail à distance
10 à 15 ans
MingChuang University
・
Applied English
Artificial Intelligence Engineer @PFG Fiber Glass Corp2019 ~ Présent
・
資料分析師、資料科學家
Dans 1 mois
林孟錡 Statistical Analysis Business Intelligence Chemistry and analytical laboratory techniques PhoneE-mail [email protected] 工作經歷 Artificial Intelligence Engineer • PFG Fiber Glass Corp 2019/01-Now Chiayi City, Taiwan Planning and promotion AI projects, reducing product abnormality rate from 50%↘10%. Analyze process data and make suggestions for improvement. Promotion digital transformation. Laboratory Manager • PFG Fiber Glass Corp 2016/10 – Now Chiayi City, Taiwan, Handle quality control, payroll, and staff evaluations. Developed new raw material monitoring method. Designed processes to increase efficiency by minimizing error and
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Chang Gung University
・
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Definition of Reputation Credits
Technical Skills
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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
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Leadership
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Professional Background
Statut Actuel
Progrès de la Recherche d'Emploi
Professions
Data Scientist
Fields of Employment
Information Services
Expérience Professionnelle
1 à 2 ans
Management
Compétences
Langues
Chinese
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Natif ou Bilingue
Job search preferences
Position Désirée
數據分析師
Type d'emploi
Temps plein
Lieu Désiré
Taiwan, 台灣
Travail à distance
Intéressé par le travail à distance
Freelance
Éducation
École
國立清華大學
Spécialisation
工業工程與工程管理
OU YANG SHIAN-YI
I love solving problems and learning. I have the experience of Data Analysis, Machine Learning, and Deep Learning. I hope to make a contribution to the company by combining practical experience and academic knowledge.
Taipei,Taiwan
+886 980 036310
Skills
Data Analysis
- Python、R
- MS SQL
- Tableau
Industrial Engineering
- Minitab
- AMPL、LINGO
- Maple、Arena、Flexsim
Language
- Chinese
- English (TOEIC 735)
- Taiwanese (Advanced)
Work Experience
SYNTEC Quality Engineer, June 2020 - present
Work content:
- Quality problem analysis and improvement: Establish data flow from suppliers, collect data through SQL, use FineReport software to build monitoring dashboards, give immediate feedback and ask suppliers to improve, and use Minitab for SPC process control and statistical visualization.
- Client application experiment planning and quality improvement: Execute the supplier yield improvement project, find out the true cause of the defect, and improve the product pass-through rate by 1% within three months.
- Quality and engineering data analysis and improvement of production quality control process: use big data analysis to import product testing standards to effectively screen out high-risk defective products.
- Manufacturing production quality problem handling and implementation of NPI process.
- Participated in the 2021 Taiwan Continuous Improvement Competition, was responsible for data analysis, and published results on behalf of the company. The first time I participated, I won the highest honor of the Golden Tower One-Star Award.
FETC General Manager's Office Quality Management and Operations Audit Department Intern, May 2018 - July 2019
Work content:
- Applied MS SQL to extract data from the database, and joined different forms to get specific user information.
- Created a web-crawler that would scrape the weather data from the Central Weather Bureau, and then established QGIS project to combine the location with the weather for the next analysis.
- Build machine learning models such as SVM, Random Forest, Neural Network to identify important variables that affect detection rate.
- Developed the Neural Network + Genetic algorithm model, which can find the optimal set of important attributes, and ideally increase the detection rate by about 4% (89% to 93%).
- Established the Association and Decision rule to explore the hidden relationship between the variables of the data.
2018 DIGI+Talent Program, June 2018 - December 2018
- Got the "Best Creativity Award" with the idea of "HenSun Solar Butler".
Education Background
Master of Industrial Engineering, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, September 2017 - June 2019
- Thesis topic: Application of Machine Learning Techniques to Freeway ETC Detection
- Instructor: Professor Su, Chao-Ton
- Abstract: Used Data Mining and Machine Learning to establish a series of analysis processes, which can find hidden, unknown and useful information from big data. The ultimate goal is to improve the performance of indicator variables.
Bachelor of Science, Department of Industrial and Information Management, National Cheng Kung University, September 2013 - June 2017
- Graduation Topic: A Statistical Analysis of the Impact of Soil Liquefaction Potential Map on Housing Price: A Case Study of Tainan
OU YANG SHIAN-YI
I love solving problems and learning. I have the experience of Data Analysis, Machine Learning, and Deep Learning. I hope to make a contribution to the company by combining practical experience and academic knowledge.
Taipei,Taiwan
+886 980 036310
Skills
Data Analysis
- Python、R
- MS SQL
- Tableau
Industrial Engineering
- Minitab
- AMPL、LINGO
- Maple、Arena、Flexsim
Language
- Chinese
- English (TOEIC 735)
- Taiwanese (Advanced)
Work Experience
SYNTEC Quality Engineer, June 2020 - present
Work content:
- Quality problem analysis and improvement: Establish data flow from suppliers, collect data through SQL, use FineReport software to build monitoring dashboards, give immediate feedback and ask suppliers to improve, and use Minitab for SPC process control and statistical visualization.
- Client application experiment planning and quality improvement: Execute the supplier yield improvement project, find out the true cause of the defect, and improve the product pass-through rate by 1% within three months.
- Quality and engineering data analysis and improvement of production quality control process: use big data analysis to import product testing standards to effectively screen out high-risk defective products.
- Manufacturing production quality problem handling and implementation of NPI process.
- Participated in the 2021 Taiwan Continuous Improvement Competition, was responsible for data analysis, and published results on behalf of the company. The first time I participated, I won the highest honor of the Golden Tower One-Star Award.
FETC General Manager's Office Quality Management and Operations Audit Department Intern, May 2018 - July 2019
Work content:
- Applied MS SQL to extract data from the database, and joined different forms to get specific user information.
- Created a web-crawler that would scrape the weather data from the Central Weather Bureau, and then established QGIS project to combine the location with the weather for the next analysis.
- Build machine learning models such as SVM, Random Forest, Neural Network to identify important variables that affect detection rate.
- Developed the Neural Network + Genetic algorithm model, which can find the optimal set of important attributes, and ideally increase the detection rate by about 4% (89% to 93%).
- Established the Association and Decision rule to explore the hidden relationship between the variables of the data.
2018 DIGI+Talent Program, June 2018 - December 2018
- Got the "Best Creativity Award" with the idea of "HenSun Solar Butler".
Education Background
Master of Industrial Engineering, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, September 2017 - June 2019
- Thesis topic: Application of Machine Learning Techniques to Freeway ETC Detection
- Instructor: Professor Su, Chao-Ton
- Abstract: Used Data Mining and Machine Learning to establish a series of analysis processes, which can find hidden, unknown and useful information from big data. The ultimate goal is to improve the performance of indicator variables.
Bachelor of Science, Department of Industrial and Information Management, National Cheng Kung University, September 2013 - June 2017
- Graduation Topic: A Statistical Analysis of the Impact of Soil Liquefaction Potential Map on Housing Price: A Case Study of Tainan