Hire Freelance Jupyter Developers and Engineers
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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James Lambert
After his PhD, James worked as a private tutor for 10 years. He founded Inspired Minds in 2016, which ran programming and robotics-themed events for children and adults. James and his business partner raised seed funding to explore space propulsion concepts, and Pulsar Fusion was born in 2019. James splits his time between programming and running Pulsar and its many academic collaborations and hardware projects. He loves getting involved in original projects, often based on hardware.
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Shubham Anilkumar Jain
Shubham is a Ph.D. student and research assistant in the Computational Privacy Group at Imperial College London. He is an expert in deep learning, computer vision, security, privacy in machine learning, and privacy-preserving analytics. Shubham has also worked extensively as a full-stack engineer, developing a wide range of applications, from a prototype for a startup to a large-scale system intended for nationwide deployments.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Bartosz Telenczuk
Along with holding a PhD degree in computational biophysics, Bartosz has more than a decade of experience in programming and data modeling. Throughout his career, he has been active in the data science community and contributed to many open source libraries. He helps companies and startups from diverse disciplines to gain value from their data through machine learning and AI. Bartosz is an excellent communicator, teacher, and public speaker.
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Dinne Bosman
Dinne is a versatile, entrepreneurial, high-tech software engineer and innovator with broad knowledge and interests. He has seen projects through the entire lifecycle, from quotation to final product, and participated as a researcher, software engineer, and manager. He prides himself on his breadth of expertise, ability to quickly grasp a client's pain points, and eye for quality and risk mitigation in developing embedded software.
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Tetyana Loskutova, PhD
Tetyana is a technology entrepreneur who strives to provide clients with end-to-end service when creating new software solutions or revamping old ones. Some of the projects she has completed include financial and accounting systems, ML-powered systems for NLP, forecasting, and anomaly detection. Tetyana has worked for clients in several countries and in various industries, such as energy, government, education, and biotechnology.
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Alex Kim
Alex is an ML engineer with 10+ years of experience in the tech industry. He has shared his expertise as an invited speaker at various conferences and meetups, helped companies with their ML strategy, and advised startups on their Data Science curriculum. He's also the founder and organizer of PyData Montreal, Canada's largest PyData meetup.
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Dan Diamond
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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Radu Nedelcu
Radu has been writing code since the age of 14. He has since built a career in data science and worked on projects in computer vision, text analysis, and financial data algorithms. His engineering background paired with his algorithm expertise enables him to work on the full pipeline from idea generation to proof of concept, development of the product to bringing it to production. He's excited about his next challenge and can't wait to get started.
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Matthew Mitsui
Matthew is a diligent data scientist with over eight years of experience in machine learning, research, statistics, natural language processing, behavioral modeling, and software development. He helps companies build data-driven products to analyze user behavior and enable users to drive their brands and success.
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