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4〜6年
6〜10年
10〜15年
15年以上
United States
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
1ヶ月以内
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information Management
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
2ヶ月以内
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
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
University of Pennsylvania
・
Economics就職中
フルタイム / リモートワークに興味あり
4〜6年
國立政治大學
・
Computer Science就職中
フルタイム / リモートワークに興味あり
4〜6年
Government Engineering College
・
Bachelor of Engineering
數據分析工程師 @ASE Group Global2022 ~ 現在
・
PM/產品經理/專案管理
1ヶ月以内
蘇庭恩 Lyndon Su 數據分析/系統分析/專案管理 Mobile：Email： [email protected] 工作經歷 Data Analyst Engineer 日月光半導體製造股份有限公司 • 2022/09 - Present Responsibilities 1 數據倉儲PM｜ 部門數據倉儲規劃& Data Pipeline建立 管理部門內部報表人力支援分配與規劃 2 數據決策平台｜ 建立採購員議
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
銘傳大學
・
應用統計資料科學學系
SQL Server Database Administrator & Linux Systems Administrator @OAG Analytics2019 ~ 現在
・
SQL Server Database Administrator & Linux Systems Administrator
1年以上
Patrick Sandrin, Tchatchoua Mbada DevOps Engineer & Site reliability engineer & AWS Engineer & Linux Systems Administrator & SQL Database Administrator Houston, TX, [email protected] Experienced IT professional working for almost 10 years in the IT field. My knowledge and experience include: - SQL Database administrator (DBA) with about 10 years of production support experience in designing, testing and supporting next-generation database solutions in SQL Server environments (SQL server installation, implementation & migration - performance running & capacity monitoring - backup & recovery - failover cluster & always ON - Database maintenance - ETL - SSRS - SSAS - SSIS) - Linux Systems Administrator with about 6 years of experience in troubleshooting network
フルタイム / リモートワークに興味あり
6〜10年
Ankara University
・
Bachelor of Science, Computer Science
Technical Program Manager @Google2022 ~ 現在
・
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
1ヶ月以内
Kigo Chen Experienced Data Scientist with a demonstrated history of working in the semiconductors and E-commerce industry. As full-stack Data Scientist , specialized skills in systematic AI/ML solutions from data pipeline, modeling to serving with Scala/Python/Spark and also architecture design. Aim to turn data-driven evidence into bussiness-decision making with systematic AI/ML solutions for my clients. Micron Technology Sr. Data Science Engineer Taichung，TW Mail: [email protected] Working Experience Sr. Data Scientist Micron Technology, 2016/12 - Current As a technique lead
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
國立清華大學
・
Statistics最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
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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
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
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Freelance
学歴
学校
専攻
Skills
Backend Data Systems
- API design: Developing RESTful APIs, lightweight query languages, real-time streaming over WebSockets
- ETL and archiving: Batch and streaming ingestion, selecting and optimizing databases for different access patterns, custom scripts to tame unruly datasets
- Tools: Python (Django, Flask, NumPy), Node.JS, Postgres + PostGIS, AWS Redshift
User Interface Engineering
- Single Page Applications: Creating browser applications with routing, text and map-based search, and OAuth login
- Data Visualization: Combining charts, maps, and text to provide interactive context about a dataset
- Tools: JavaScript (ES6), Ember, React, Sass, Leaflet, HighCharts
Cloud Infrastructure
- Continuous Delivery: Reliable feature delivery with build pipelines that run test suites and deploy updates across production servers
- Tools: AWS (EC2, Elastic Beanstalk, Lambda, Kinesis, and many more), Ansible, NGINX, Unix scripting
Experience & Education
Software Engineer | Sourceress | October 2017 - Present
Software Engineer | Argonne National Lab - Urban Center for Computation and Data | Sep 2015 - June 2017
Software Engineering Co-op | Rockwell Automation | Jan 2014 - Aug 2014
B.S. Computer Science | University of Pittsburgh | August 2011 - April 2015
Selected Projects
Sourceress
Artificial intelligence recruiter that uses tailor-made machine learning models to find great engineering candidates.
Engineer: October 2017 - Present
- Improved core infrastructure for combining human labels and machine learning-generated predictions to generate ratings on candidates.
- Co-wrote new search system that let contractors to perform complex searches over hundreds of thousands of candidate profiles in a few seconds (compared to old system which took minutes).
- Worked closely with business operations team to provide better metrics for contractor performance and develop features to improve contractor productivity.
Plenario (@Argonne National Lab)
Web application that enables space and time-based discovery of open data. Provides API for querying across datasets.
Lead Engineer: September 2015 - June 2017
- Took from prototype to production-ready application depended on by academic users and the City of Chicago's opengrid.io.
- Designed and implemented real-time data pipeline using AWS Kinesis, Lambda, and Redshift to ingest and stream data from the Array of Things sensor network.
- Built up engineering team by recruiting three new engineers and mentoring junior developers and interns.
- Improved response time of most important family of queries by a multiple of 10 by redesigning the database and optimizing client code.
- Rewrote ingestion process to improve reliability and scale with demand.
- Increased speed of feature delivery by migrating from hand-rolled EC2 instances with manual deployments to push-to-deploy with Elastic Beanstalk and Travis CI.
- Tools: Python (Flask), JavaScript (Ember for frontend, Node for streaming pipeline)
Community
Talks
- JavaScript for Data Analysts, March 2017
- Chapin Hall Center for Children
- Open Data, Open Government, Feb 2017
- PyData Chicago Meetup
- Databases for Smart Cities, Nov & Dec 2016
- Guest lecture at University of Chicago and DePaul University Masters database courses
- SQLAlchemy: Beyond ORM, Dec 2015
- Chicago Python Meetup
Volunteering
- PyData Chicago Meetup
- Build Night Host: Feb 2016 - Dec 2016
- Chicago Python Meetup
- Web Development Mentor: Spring 2016
Panels
- Open Data Roundtable on Public-Private Collaboration, June 2016
- White House Office of Science and Technology Policy
- International Symposium on Urban Living Labs, February 2016
- UK Collabatorium for Research on Infrastructure and Cities
Skills
Backend Data Systems
- API design: Developing RESTful APIs, lightweight query languages, real-time streaming over WebSockets
- ETL and archiving: Batch and streaming ingestion, selecting and optimizing databases for different access patterns, custom scripts to tame unruly datasets
- Tools: Python (Django, Flask, NumPy), Node.JS, Postgres + PostGIS, AWS Redshift
User Interface Engineering
- Single Page Applications: Creating browser applications with routing, text and map-based search, and OAuth login
- Data Visualization: Combining charts, maps, and text to provide interactive context about a dataset
- Tools: JavaScript (ES6), Ember, React, Sass, Leaflet, HighCharts
Cloud Infrastructure
- Continuous Delivery: Reliable feature delivery with build pipelines that run test suites and deploy updates across production servers
- Tools: AWS (EC2, Elastic Beanstalk, Lambda, Kinesis, and many more), Ansible, NGINX, Unix scripting
Experience & Education
Software Engineer | Sourceress | October 2017 - Present
Software Engineer | Argonne National Lab - Urban Center for Computation and Data | Sep 2015 - June 2017
Software Engineering Co-op | Rockwell Automation | Jan 2014 - Aug 2014
B.S. Computer Science | University of Pittsburgh | August 2011 - April 2015
Selected Projects
Sourceress
Artificial intelligence recruiter that uses tailor-made machine learning models to find great engineering candidates.
Engineer: October 2017 - Present
- Improved core infrastructure for combining human labels and machine learning-generated predictions to generate ratings on candidates.
- Co-wrote new search system that let contractors to perform complex searches over hundreds of thousands of candidate profiles in a few seconds (compared to old system which took minutes).
- Worked closely with business operations team to provide better metrics for contractor performance and develop features to improve contractor productivity.
Plenario (@Argonne National Lab)
Web application that enables space and time-based discovery of open data. Provides API for querying across datasets.
Lead Engineer: September 2015 - June 2017
- Took from prototype to production-ready application depended on by academic users and the City of Chicago's opengrid.io.
- Designed and implemented real-time data pipeline using AWS Kinesis, Lambda, and Redshift to ingest and stream data from the Array of Things sensor network.
- Built up engineering team by recruiting three new engineers and mentoring junior developers and interns.
- Improved response time of most important family of queries by a multiple of 10 by redesigning the database and optimizing client code.
- Rewrote ingestion process to improve reliability and scale with demand.
- Increased speed of feature delivery by migrating from hand-rolled EC2 instances with manual deployments to push-to-deploy with Elastic Beanstalk and Travis CI.
- Tools: Python (Flask), JavaScript (Ember for frontend, Node for streaming pipeline)
Community
Talks
- JavaScript for Data Analysts, March 2017
- Chapin Hall Center for Children
- Open Data, Open Government, Feb 2017
- PyData Chicago Meetup
- Databases for Smart Cities, Nov & Dec 2016
- Guest lecture at University of Chicago and DePaul University Masters database courses
- SQLAlchemy: Beyond ORM, Dec 2015
- Chicago Python Meetup
Volunteering
- PyData Chicago Meetup
- Build Night Host: Feb 2016 - Dec 2016
- Chicago Python Meetup
- Web Development Mentor: Spring 2016
Panels
- Open Data Roundtable on Public-Private Collaboration, June 2016
- White House Office of Science and Technology Policy
- International Symposium on Urban Living Labs, February 2016
- UK Collabatorium for Research on Infrastructure and Cities