Hire Freelance Data Analysts
Oliver Holloway
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. With this background, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
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Christopher Karvetski
Dr. Karvetski has ten years of experience as a data and decision scientist. He has worked across academia and industry in a variety of team and client settings, and has been recognized as an excellent communicator. He loves working with teams to conceive and deploy novel data science solutions. He has expertise with R, SQL, MATLAB, SAS, and other platforms for data science.
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Renee Ahel
Renee is a data scientist with over 12 years of experience, and five years as a full-stack software engineer. For over 12 years, he has worked in international environments, with English or German as a working language. This includes four years working remotely for German and Austrian client companies and nine months working remotely as a member of the Deutsche Telekom international analytics team.
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Eva Bojorges Rodriguez
Eva is a skilled back-end developer and machine learning engineer with experience in scalability issues, system administration, and more. She has a flair for well-structured, readable, and maintainable applications and excellent knowledge of Python, Ruby, and Go. She is a quick learner and has worked in teams of all sizes.
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Vu Quang Hoa
Hoa, nicknamed Joe, is a brilliant engineer capable of grasping new concepts very quickly. His most striking quality is the commitment he shows in whatever he does. He specializes in full-stack, highly scalable Python-Django applications. He has over 10 years of experience developing applications on the Django framework at many companies worldwide, one of them being the StoryTree company—one of the top 500 startups in the US.
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Aljosa Bilic
Aljosa is a data scientist and developer who has more than eight years of experience building statistical/predictive machine learning models, analyzing noisy data sets, and designing and developing decision support tools and services. He joined Toptal because freelancing intrigues him, and the best projects and people are to be found here.
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Derek Owens-Oas
Derek has a Ph.D. in statistical science and has worked as a data scientist and software developer at Xylem. A published author in the Journal of Classification, his expertise is in providing technical reports and insights with interactive visualizations. Derek's extensive knowledge of Python and R libraries, state-of-the-art methods, and ability to communicate make him an asset to any company. His specialties include text and online social network analysis.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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Sebastián Castaño
Sebastián has a PhD in machine learning and data science and a decade of experience in interdisciplinary projects in medicine, banking, marketing, and consumer products, among others. His expertise includes designing data collection systems, analyzing and modeling complex data, and developing and deploying ML pipelines. As a seasoned researcher and educator, Sebastián constantly delivers compelling data-driven insights and intuitive tools for technical and non-technical colleagues.
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Elizabeth Eardley, PhD
Elizabeth is a versatile data scientist, combining a strong scientific background from postdoctoral research with six years of industry experience, including Booking.com and Skyscanner. She excels at applying scientific techniques to data to support and automate decision-making, optimize products, and uncover actionable insights. Elizabeth has conducted extensive A/B testing and built and scaled multiple online experimentation platforms and optimization programs.
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Timo Klock
Timo is a full-stack data scientist with eight years of professional experience in data-heavy applications and a PhD in machine learning and statistics. He can work in different roles on the data lifecycle in industrial applications as a data engineer, data scientist, ML engineer, or data analyst. Timo is experienced with Python and SQL, and many modern data frameworks.
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