Hire remote data analysts near San Diego 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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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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Horia Mărgărit
Horia's industry experience extends across digital health, consumer finance, internet search, engineering software, and transportation logistics. He has over 10 years of expertise applying AI methods and approaches to tackle businesses problems. Horia's predictions for business applications of AI have been featured in CIO magazine and Forbes. He earned a master of science degree in statistics at Stanford University and two BAs specializing in cognitive and computer science at UC Berkeley.
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Hiro Shioi
Hiro is a customer-facing data scientist. He excels at very high-level data science problems (ideation, road mapping, ROI estimation, solution and data architecting) to hands-on execution (data cleansing, feature engineering, modeling, operationalization). At General Electric, Hiro led a million-dollar digital transformation advisory project and developed 15 data science products across the healthcare, mining, telecommunications, manufacturing, transportation, power, and financial industries.
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David Grayson
David is an experienced data and ML scientist with a PhD and demonstrated success at large and small companies. He published 12+ papers on computational neuroimaging, designed and built real-time ML apps for QuickBooks, improving product experience for over a million users. He led multiple initiatives at a biotech startup predicting neurological disease using novel computer vision, analytics, and ML methods. David is passionate about helping clients leverage data and AI to maximize their impact.
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Jana Dodson
In her more than eight years of experience, Jana has worked at both small and large companies and has been through many stages of growth. She has also collaborated with people across the tech industry, including executives, designers, product managers, engineers, business leaders, and marketers. Jana's job is to take loosely defined problems, design robust solutions, and find the quickest path to implementation while ensuring the solution is never a "black box" for the client.
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George McIntire
George is a results-driven data scientist who brings a diverse skill set and rich experience to the table. His expertise lies in data translation and a versatile toolkit, including Python, SQL, and machine learning. George excels at distilling complex findings into actionable and comprehensible insights, making data accessible and impactful for stakeholders.
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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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