Hire remote machine learning engineers near Chicago or in a similar time zone
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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Charles Cook, Ph.D.
Charles has a Ph.D. in aerospace engineering and spent three years developing custom data processing and analysis programs for NASA. He specializes in scalable, enterprise-level application development and engineering solutions for exceptionally high throughputs. He is also the founder and owner of GreatVocab.com, for which he developed the core system using novel concepts in data analysis and control theory.
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Pedro Henrique Rocha Moy
Pedro is a business-oriented seasoned data scientist and data engineer with experience building and deploying production distributed data pipelines and machine learning models at scale, covering the entirety of the data lifecycle from design, construction, optimization, deployment, and monitoring of data architectures and machine learning models. Pedro's focus is to deliver solutions that are robust to changes in environment and data and flexible to address changes in business requirements.
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Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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Leopoldo Corona
Leopoldo is a Certified AWS Machine Learning (ML) specialist who has worked in all data-related positions. He started his career early as a data research analyst and then became a data scientist, developing risk and fraud assessing models. When Leopoldo began struggling with bringing those models to production, he transitioned to an ML position focusing more on data-centric engineering, thus becoming a data engineer. Currently, Leopoldo is the head of data engineering at Clara startup.
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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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Dandan Zheng
Dandan is a senior data analyst and data scientist with 5+ years of professional experience and an extensive background in predictive models, AB testing, dashboard, and end-to-end analytics projects. She has worked in the technology, live streaming, social media platform, and oil and gas energy industries, constantly collaborating with cross-functional teams. Besides work, Dandan enjoys traveling and is a big-time computer gamer.
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Joseph Miano
Joseph is a data scientist with 3+ years of experience in computer vision, NLP, and tabular datasets. He's worked on analytics for large-scale medication adherence outreach programs, multi-task neural networks for brain microscopy image segmentation, and NLP models to detect COVID-19 outbreaks from news articles. He's also familiar with model explainability for credit risk assessment and fraud detection models. Joseph holds an MS in Computer Science with a specialization in machine learning.
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Andrew Ho
Andrew has eight years of experience developing high-performance back-end systems from scratch. He has led the development of internal APIs for derivatives trading, genomics and proteomics machine learning pipelines for AI-driven biotech, and infrastructure to support rapid delivery of on-chain data to front-end user interfaces. Andrew is very flexible and has worked both independently and led projects with up to ten people.
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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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