Hire Freelance Jupyter Developers and Engineers
Alex Risman
In Alex's current role, he uses artificial intelligence to automatically detect diseases in 2D and 3D medical images along with some algorithms to achieve superhuman performance. Previously, he worked as a data scientist at an eCommerce company, where he built and deployed a deep-learning-based product search engine.
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Mikayel Samvelyan
With a master's degree from the University of Oxford, Mikayel is a machine learning expert and data scientist specializing in natural language processing, computer vision, and reinforcement learning. He has substantial experience in research and development of deep learning solutions and has worked at such companies as Reddit, Mentor, and USC. Mikayel has co-authored several scientific publications at leading machine learning conferences.
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Matthew Alhonte
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
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Cody Nash
Cody has experience in a range of fields from geobiology and medical genetics to data analytics for commercial clients. Along with validating genetic tests in a private clinic and developing software infrastructure to support analytics (including customizing Jupyter environments on Kubernetes clusters), he has assisted clients with experiment planning, data exploration, and model deployment. Cody's preferred languages include Python and R.
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Maximilian Hopf
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max's work has resulted in the publication of a scientific paper, increased marketing accuracy through advanced analytics, and built reliable models for the prediction of sports events and customer behavior.
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Darin Erat Sleiter
Darin is a data scientist and engineer with a PhD in physics from Stanford. He's passionate about data and machine learning and has worked on data science projects across numerous industries and applications. Darin's co-founded an AI company and led a team of data scientists to build a product which uses machine learning and optimization techniques to reduce energy consumption in data centers. He's eagerly waiting for quantum computers.
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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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Daniel O'Huiginn
Daniel likes code, words, and data. Starting as a Python developer, he's moved gradually from web back-end work to more data-driven projects. After spending time working in classic big data and data science, he found a niche in investigative data journalism—learning skills he now likes to use more commercially.
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