Hire Freelance Scikit-Learn Developers and Engineers
Omer Ishaq
Omer is a machine and deep learning researcher, engineer, and consultant with significant experience in academic research, consulting, and developing computer vision solutions in the software industry. He is proficient with PyTorch, OpenCV, Scikit-image, Scikit-learn, Google-Cloud-VMs, Google-Cloud-Run, and Google-Storage. Omer's interests include image classification, segmentation, object detection, clustering, low shot learning, image registration, and facial recognition.
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Robert Šajina
Robert is a data scientist and machine learning engineer specializing in the TensorFlow and Scikit-learn frameworks. He excels at designing and implementing machine learning models and algorithms. In addition to his data science expertise, Robert possesses full-stack development experience from working on various projects and startups.
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Rafah Alomar
Rafah is a Java and Python enthusiast with over four years of software development experience across many domains, including eCommerce and advertisement. She is experienced with technologies such as Spring Boot, Hibernate, Kafka, Caffeine, Memcached, Scikit-learn, Pandas, Flask, and many others. Rafah is also a researcher, with her master's thesis being centered on natural language processing tasks.
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Roman Yurchak
Roman has a Ph.D. in physics, is a data scientist, and a scikit-learn core developer. He has worked on consulting projects for large European companies to design and implement machine learning models on topics such as supervised learning, natural language processing (NLP), and recommender systems. His work has been implemented in the banking, energy, and automotive manufacturing industries. Roman is also a contributor to numerous open-source projects, and in particular, scikit-learn.
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Igor Stankevich
Igor is a results-driven quantitative development professional with progressive industry experience in commodities, deep learning, computer vision, and data science. He has demonstrated hands-on financial and AI software development experience with in-depth knowledge of Python. Igor consistently attempts to find the best value-add opportunities and contribute to the team as a whole.
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Tory Borsboom-Hanson
Tory is a data scientist and forecasting specialist with extensive experience in experimental design, AB testing, and leadership roles. His stack of choice includes Python, SQL, Pandas, PySpark, Hadoop, MLFlow, XGBoost, and Scitkit-learn. Beyond data science and model development, he is an expert at data visualization and reporting, especially to non-technical audiences. He often remarks that "a poorly presented analysis can often be worse than no analysis at all."
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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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Guillaume Ferry
As an experienced machine learning practitioner (Kaggle expert), data engineer and architect, Guillaume builds artificial intelligence (AI) and data applications and systems for clients. He develops statistical models, ETL jobs, APIs, basic front-ends, and researches new solutions and approaches for algorithm scaling.
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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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Fabian Linzberger
Fabian would characterize himself as a data science and deep learning enthusiast, a functional programmer, and a full-stack engineer with DevOps experience. He has over a decade of experience working within the industry using a variety of languages (Erlang, Haskell, Python, JavaScript, Scala, Clojure, Ruby, and more) and who enjoys working in environments that are open to creativity and values working solutions to problems above all.
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Eva Bojorges Rodriguez
Eva is a skilled back-end developer and machine learning engineer with experience in scalability issues, system administration, and more. She has a flair for well-structured, readable, and maintainable applications and excellent knowledge of Python, Ruby, and Go. She is a quick learner and has worked in teams of all sizes.
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