Hire remote machine learning engineers near Birmingham or in a similar time zone
Keyvis Damptey
Freelance Machine Learning Engineer
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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Hameed Hasan
Freelance Machine Learning Engineer
Hamid is a data scientist with a Ph.D. in computer science/bioinformatics, with a minor in machine learning. He has a strong background in deep learning, algorithms, and programming. His past works have focused on designing predictive models both in industry and academia. His expertise lies in the healthcare domain.
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Andrey Zaytsev
Freelance Machine Learning Engineer
Andrey is a full-stack, mobile, and systems developer who's worked at top companies such as Google, Dropbox, Apple, and Jump Trading. He's also completed his master's degree in computer science at the University of Illinois at Urbana-Champaign with a focus on machine learning. He possesses in-depth knowledge of C++ and Python, having worked with them for over seven years and has experience developing in Java, JavaScript, and Swift.
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Levi Self
Freelance Machine Learning Engineer
Levi has nearly a decade of experience in applied data science in a variety of industries with a concentration in the insurance industry. He's passionate about solving challenging problems that others find difficult or impossible. He's comfortable working independently and collaborating on teams. He is most at home in small startups with experience in enterprise as well.
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Nicholas Roth
Freelance Machine Learning Engineer
Nicholas is an efficient, deep learning engineer and data scientist with experience in data curation, classical machine learning algorithms, and statistical modeling. His initial focus is on data extraction. Once an algorithm (and intuition) shows the most crucial areas, he shifts gears to get the "juice" out of that data before testing and deploying models in a client's infrastructure, delivering exceptional and accurate work.
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Nan Gu
Freelance Machine Learning Engineer
Nan Gu has 10+ years of experience in the financial industry mining data, building predictive pricing models, and running algorithmic trading strategies. As a freelancer, he'd like to better utilize his full-stack skills in data science and engineering to help organizations achieve their goals.
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Ben Gorman
Freelance Machine Learning Engineer
Ben is a data scientist based in the New Orleans area with eight years professional experience. He likes finding creative solutions to business problems using a combination of math and programming. His toolset consists of R, Python, Excel, SQL, and a variety of machine learning techniques.
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Wesley Welch
Freelance Machine Learning Engineer
After falling in love with statistics in college, Wesley learned Python as a means to facilitate his yearning to use data to answer questions. This has snowballed into his role as a data analyst for an insurance company and a software engineer specializing in machine learning for a risk-management startup. In both roles, he was given a blank slate to create novel solutions to myriad problems, and he sincerely enjoyed it. Wesley thrives in an environment where no two days are exactly the same.
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Mick Nassar
Freelance Machine Learning Engineer
Mick is a seasoned developer with experience at a Fortune 100 company creating enterprise back-end API solutions, hands-on machine learning experience in multiple languages, a proven track record of creating products worth millions of dollars, and a patent pending. He loves what he does and he's good at it. Let him put his skills to work for you.
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Mehdi Ghasemi
Freelance Machine Learning Engineer
Mehdi is a mathematician and scientific programmer who specializes in applied math and very abstract concepts. His scientific background is rooted in optimization, geometry, and computations, and he has been working as a data scientist for years now, building statistical and machine learning models.
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