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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
兩個月內
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
University of Pennsylvania
・
Economics
Key Account manager @Ortnec2018 ~ 現在
・
Key Account manager in Business Development Department
超過一年
job is in eCommerce IT company. Limassol, CY , mob:, Telegram: @natalia_lankina , [email protected] Skills Project Management, Account Management, Agile (Lean, Kanban, Scrum frameworks), JIRA Confluence, Wiki Confluence, SQL, MS PowerBI, Salesforce, Pipedrive, Bitrix24, Trello, ISO 9001 Quality management, SQL, MS Office, Math Skills, Statistics and Probability, Direct Marketing Metrics, Data Analysis, Teamwork & Leadership, CAT Tools, Linguistic and formal Quality Assurance tools, Translation, Interpreting. Languages English - Advanced (both business writing and fluent speaking) Russian - Native Greek - Intermediate Experience June 2022 to current Direct Marketing Specialist Exness Global Ltd., Limassol, Cyprus Manage and
就職中
全職 / 暫不考慮遠端工作
10 到 15 年
Faculty of Applied Mathematics and Cybernetics Tomsk State University - Tomsk, Russian Federation
・
Master degree in Math and Economics, Translation and Interpreting
資料分析師、資料科學家
兩個月內
快速了解各種不同的需求，進而解決問題。擅長從大量數據中，找出有用的訊號。 技能 Data Science Data Mining, Data Cleaning, Data Analysis, Machine Learning, Data Visualization, Web Crawler, Data Pipeline, Statistics, Mathematics, Probability Theory Programming R - dplyr, stringr, ggplot2, DBI, caret, rvest SQL - MS SQL, Oracle, MySQL Python - pandas, numpy, matplotlib, sklearn Tableau 經歷 資深數據分析師 @ 雨林新零售股份有限公司Present 主要負責毛
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
6 到 10 年
成功大學
・
統計就職中
全職 / 對遠端工作有興趣
4 到 6 年
VIT University
・
Master of Technology
Data Science @Alfred Labs.2017 ~ 現在
・
兩個月內
System. Auto-alarm system. EDUCATION University of Taipei, BS, Computer Science, 2012 ~ 2017 Transferred from the Mathematics department to the Computer Science department. The graduation thesis focused on analyzing user preference for phrases on the message board PTT. Mathematics Number theory, Calculus, Linear algebra, Abstract algebra, Probability theory, and Statistics. Computer Science Database Systems, Introduction to Machine Learning, Introduction to Image Processing , Introduction to Data Mining , Discrete Mathematics, Java, Data Structures, Digital System Design, Operating Systems, Algorithms, Digital Circuit Laboratory, Computer Network, System Programming, Assembly Language, Computer Architecture, Formal Languages and Autom...
4 到 6 年
University of Taipei
・
Computer Science就職中
全職 / 暫不考慮遠端工作
6 到 10 年
淡江大學
・
統計學系就職中
全職 / 對遠端工作有興趣
4 到 6 年
Massachusetts Institute of Technology
・
MicroMasters Statistics and Data Science
Data Analysis @Unistar
Data scientist
一個月內
徐郅暐 Experienced at Data Visualization, Web Scraping, Statistical Inference, Data Mining, and Machine Learning. Education 國立政治大學 - 統計學系 碩士, 2010/09 ~ 2012/06 國立中興大學 - 應用數學系 學士, 2006/09 ~ 2010/06 Experience Data scientist SHOPLINE Jan 2019 ~ Aug 2019 Dashboard product planning and design. Internal data requirement analysis. Data scientist Unistar Corp. Mar 2017 ~ Jan 2019 Data Mining Present detailed reports to answer business or operational questions Analysis customers conversion rate by Google
全職 / 對遠端工作有興趣
4 到 6 年
政治大學
・
統計所最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
一年內
Senior Global DRAM QRA Data Analytics Engineer
Micron Technology 台灣美光
・
2021 ~ 現在
專業背景
目前狀態
就職中
求職階段
專業
半導體工程師, 數據科學家, 數據工程師
產業
半導體, 大數據
工作年資
2 到 4 年
管理經歷
無
技能
語言能力
English
・
專業
Japanese
・
初階
求職偏好
希望獲得的職位
軟體工程師、影像處理工程師、AI處理工程師、演算法工程師
預期工作模式
全職
期望的工作地點
Hsinchu, 新竹市台灣, Taichung, 台灣
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立台灣大學（National Taiwan University）
主修科系
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