Hire data analysts near Seattle or in a similar time zone
Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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Hang Guo
Hang is a skilled data and database engineer with a proven track record in writing programs and extracting valuable insights from data. He excels in back-end database development, ETL, data pipeline creation, and business intelligence solutions. Proficient in AWS technologies such as Lambda, Step Functions, EMR, DynamoDB, SES, and API Gateway, Hang is adept at working with on-premise databases (SQL Server, PostgreSQL), cloud databases (AWS Redshift), and big data technologies (Spark).
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Mark Gross
Mark is a system analyst with over a decade of experience in SQL, stored procedures, database management, troubleshooting, and process improvement in the healthcare, retail, and e-learning industries. He leverages data and collaborates cross-functionally to develop and modify reports that meet client needs. At Relias, Mark managed data migrations, ensuring accuracy and serving as technical liaison. He also streamlined operations for a face-painting business with a custom-built CRM tool.
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Andrew Tilley
Andrew has nearly 10 years of experience deploying predictive algorithms and end-to-end data solutions, increasing his companies' net revenue by tens of millions of dollars. His technical acumen, combined with deep communication skills to both technical and non-technical colleagues, ensures he has a broad impact across teams who work with him. Whether the end result is a data product or a detailed analysis, Andrew relishes the opportunity to solve business problems with machine learning.
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Peter Daniels
Peter is a seasoned data platform expert specializing in the Microsoft stack, including Azure. With skills ranging from data architecture and engineering to database administration and development, his 29 years of experience, multiple certifications, and passion for learning set him apart in addressing clients' diverse data requirements. Most recently, Peter helped a growing company migrate their on-premise data and AI estate into Azure as part of an ERP migration to Microsoft Dynamics 365.
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Roxana Ibanez
Roxana has more than 10 years of experience advising and assisting companies and clients in data warehousing, business intelligence, data governance, and digital transformation. She understands the benefits of good communication and clean code and how a well-projected architecture helps productivity and maintainability in the long term. Roxana's extensive experience in the data domain has been proven to help leverage applied analytics to manage complex problems.
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Dandan Zheng
Dandan is a senior data analyst and data scientist with 5+ years of professional experience and an extensive background in predictive models, AB testing, dashboard, and end-to-end analytics projects. She has worked in the technology, live streaming, social media platform, and oil and gas energy industries, constantly collaborating with cross-functional teams. Besides work, Dandan enjoys traveling and is a big-time computer gamer.
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Andreas Freund
Andreas holds a PhD in applied math and has shown through his research and work experience a passion for using scientific computing to drive data-informed, impactful results. He wrote a thesis in the field of computational fluid dynamics and published two papers in high-impact journals as the first author. Most recently, Andreas has analyzed remote diagnostic data in the trucking industry to improve the performance of diesel engines.
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Felice Rando
Felice is an expert in machine learning, predictive analytics, and big data, having built dozens of solutions across multiple verticals, including finance, fraud, telecommunications, and pharmaceutical research, deriving business value from raw data. He has served both as a practitioner and analytics executive in organizations such as OECD, the University of Washington, First Data, ID Analytics, and multiple start-ups. Felice has a Master's degrees in theoretical and applied statistics.
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Alex Clark
Alex is an innovative and experienced big data engineer, skilled in a wide variety of tools and technologies. He is competent in all aspects of the data science process, including data ingestion, storage, transformation, and statistical modeling. Alex has a proven track record of thoughtfully dissecting business problems, vetting requirements, and then designing the processes to address them.
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Matthew Warkentin
Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.
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