Hire Freelance Bayesian Statistics Developers and Engineers
Saikat Banerjee
Saikat is a postdoctoral scientist at the University of Chicago with a PhD in computational biophysics and a master's degree in chemistry. He is an expert in biostatistics, statistical genetics, Bayesian methods, and machine learning. As a graphic design and web development freelancer, Saikat co-founded a marketing management company. He enjoys solving problems, creating value, and learning new expert-level skills.
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Ryan Tang
Ryan is an applied scientist empowering businesses to unlock the full potential of data in solving intricate, complex business problems. For the past 8 years, he's been dedicated to building pragmatic, data-driven solutions that blend scientific rigor with practical business insight. With experience spanning technology, real estate, and insurance industries, he's played a pivotal role in driving significant revenue growth, developing cutting-edge products, and optimizing business functions.
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Carlos J. Gil Bellosta
Carlos has 17 years of experience in data science in domains such as IoT, financial risk, credit scoring, churn analysis, biotechnology, and eCommerce. His international industry experience is backed by completing all courses toward a PhD in statistics and a master's and bachelor's degree in math. In addition to being an active contributor to the ecosystem of R packages, Carlos shares his expertise by giving talks and teaching data science at universities and business schools.
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Alex Wang
Alex is a developer with 6+ years of experience in Python, JavaScript, SQL, and R. She enjoys working in both startup and corporate environments and has worked on all stages of the machine learning project lifecycle (research, data processing, model development, testing, and deployment). Passionate about learning new things, Alex has been building web applications through side projects and is looking for projects that allow her to focus on back-end development and API design.
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Robby Goetschalckx
Robby is a machine learning expert with 10+ years of experience in research and back-end software development for machine learning solutions. With master's degrees in computer science and artificial intelligence in addition to his Ph.D. in computer science, Robby is well equipped to provide solutions to a variety of issues in companies of all sizes.
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Carl Dehlin
Carl is a mid-senior algorithm developer with experience in optimization and artificial intelligence, primarily for applications in vision such as 3D reconstruction and object detection. Currently, he is working on a startup project on speech recognition. Carl codes mainly in C++ and knows the language inside out. As an expert in his field, he can easily code in new languages and find intelligent solutions for complex problems.
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Margarida Campos
Margarida is a data scientist and machine learning developer with 5+ years of experience in the field. At OutSystems, she won the Top Performer Award of 2020. She has been a data science teacher since 2019, having taught hundreds of students in machine and deep learning. Margarida has also worked as a researcher, having won an international competition with the development of an original QA model in 2021. She currently works as a freelancer.
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Stylianos Kampakis
Dr. Stylianos Kampakis is an expert data scientist living and working in London. He has a Ph.D. in machine learning from the University College London and an MSc in informatics from The University of Edinburgh. He is a member of the Royal Statistical Society and the UCL Blockchain Centre. His skills include machine learning, statistical analysis, deep learning, natural language, and Bayesian statistics.
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Aymen Jaffry
Aymen has worked for 6+ years as a data scientist, machine learning engineer, and consultant. He has worked in many industries, including finance, advertising, and online marketplaces. He greatly enjoys using machine learning and statistics to build state-of-the-art and efficient solutions. He holds an M.S. in computational engineering from Harvard University and a master's degree in applied/theoretical mathematics from Ecole Centrale Paris.
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Viktor Petukhov
Viktor holds a PhD in biostatistics, during which he developed eight open-source packages used by thousands of researchers worldwide. He also worked as a data science team lead and an independent AI consultant, translating business needs into technical terms. Combining scientific and enterprise experience, Viktor can support companies on the full spectrum, from formulating a business problem to building a production-ready AI solution.
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Sunil Kumar
Sunil's expertise lies in developing novel statistical and mathematical models for quantitative and qualitative data assessment. His primary strengths are ML, AI, big data, systems biology, and high-performance computing. He has co-authored 5+ papers in sleep science and helped develop solutions for wireless data transfer, DB management, and monitoring software lifecycle processes. Sunil is adept in overseeing research to ensure rapid development and deployment of innovative product lines.
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