Hire remote data scientists near Orlando or in a similar time zone
Nathan Faber
Freelance Data Scientist
Nathan is a problem solver at heart, having worked as a chemical engineer, financial data scientist, and portfolio manager. He loves to dive into messy data sets to uncover patterns and leverage the data to benefit the business. His quantitative and qualitative analysis skills in machine learning, visualization, and model creation, paired with his attention to detail and development experience in various programming languages, make him an ideal candidate for tackling any project.
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Eugene Severinovsky
Freelance Data Scientist
Eugene is an accomplished IT professional specializing in data governance, solution architecture, and master data management. He has an extensive technology background, expert-level Collibra data governance skills, and a solid track record of delivering end-to-end digital transformation projects. Eugene is also a Certified Collibra Implementation Ranger and Scrum Master and an advocate of industry best practices, including Agile and Lean.
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Hameed Hasan
Freelance Data Scientist
Hamid is a data scientist as well as a professional full-stack developer. He has a Ph.D. in CS from Georgia Tech and a strong background in NLP/NLU, mainly when applied to the Healthcare domain. The focus of Hamid's past works has been the design of interpretable predictive models in diverse areas, both in industry and academia. He is also involved in neuroscience research, especially when combined with recent deep neural-based models.
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Jeremy Jacobson
Freelance Data Scientist
Jeremy is a versatile data scientist with six years of experience that includes leading machine learning research projects and managing department teams. He has built data science and ML solutions used by faculty and external partners such as CareerBuilder and UPS. He was recognized by Google Education as a Google Cloud Faculty Expert and selected to the AWS Academy Cloud Council Faculty. Adept at picking up new skills quickly, Jeremy is committed to freelancing excellence.
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Keyvis Damptey
Freelance Data Scientist
Keyvis uses statistics and mathematics to discover valuable information by identifying, testing, and verifying relationships between all the factors influencing your business. This process unveils the nuances to the "lay of the land" when it comes to the costs, operations, or customer sentiment that your organization must work with. From there, you both can discover the impact of actions and design strategies around your organization's goals.
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Christopher Karvetski
Freelance Data Scientist
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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Farooq Agha
Freelance Data Scientist
Farooq has worked in healthcare and higher education for the past 20 years. His most notable work is an online solution that provides back-end technology to the Community Care of North Carolina program. It received the prestigious Annie E. Casey Innovations in American Government Award from the Ash Institute at the Kennedy School of Government at Harvard University for its work in improving health care services for Medicaid and other populations.
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Robert Pehlman
Freelance Data Scientist
Robert is a seasoned data scientist and has worked for Mastercard, United Healthcare, and currently, Google, where he supports the Google News app. He was also a PhD student in statistics at North Carolina State University while researching causal inference, reinforcement learning, and functional data analysis. Robert's passion is solving challenging data problems by building scalable models and engineering new features to improve model performance.
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Dan Diamond
Freelance Data Scientist
Dan is the director of management information systems at a mental health center of 500 employees, overseeing the organization's data warehousing, data analysis, and BI resources. He specializes in engineering data pipelines with Alteryx, Python, PHP, and BI tools. Dan implemented predictive analytics systems using Python and R in the areas of employee sentiment, patient outcomes, and crisis intervention.
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Art Vancil
Freelance Data Scientist
Art has 25 years of data architecture and cloud-computing consulting experience—mostly in building enterprise data warehouses. He's an end-to-end solution architect and chief problem solver with a long history of focused execution—according to a statement of work—and successful delivery in a team setting.
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Christophe Williams
Freelance Data Scientist
Christophe has led product development in three data-intensive startups and held technical product management and data science roles at Capital One, Amazon, and the 2012 Obama campaign. His expertise includes finance, marketing, and retail products, and he specializes in using data analysis to build and improve products. Christophe holds an MBA from Wharton Business School and a BA in mathematics from Williams College.
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