Hire Freelance Seaborn Developers and Engineers
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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Diogo Dutra
Diogo is a machine learning engineer with a Master of Science degree in aeronautics and expertise in the whole pipeline from data visualization to model deployment. His 14+ years of international experience in research and development for defense, public safety, and aerospace industries allow him to combine new methodologies, like deep learning and computer vision, with traditional ones (e.g., physics, simulation, sensor fusion, Kalman filter, Fourier transform, and signal processing).
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Merve Acar
Merve is an experienced machine learning engineer who takes pleasure in revealing the story of data and building predictive models with a proven track record of designing and implementing pipelines for extracting, validating, cleaning, transforming, and modeling data. She is passionate about solving real-world industry problems and eager to take on new challenges and opportunities.
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Demetrio Rodriguez
Demetrio is an experienced data scientist who's comfortable with the entire data science stack. He excels at developing sophisticated machine learning models and leveraging highly tractable and robust statistical methods. Besides his technical and statistical expertise, Demetrio's presentation style and powerful visualizations effortlessly get across key takeaways of highly technical results to any audience.
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Adrian Curic
Adrian is a software engineer and data scientist working at the intersection of software engineering, computer vision, and machine learning. He has experience in research, multinational corporations, and startup environments and was awarded patents for real estate and financial modeling projects. Adrian also contributed to surveillance systems for Singapore's border security and participated in competitive coding and hackathons, consistently ranking in the top 1% on platforms like HackerRank.
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Michael Karchevsky
Michael has a strong background in machine learning and AI, with diverse research experience in industry and academia. He has successfully led development cycles and has expertise in working with various data types. Michael has strong leadership, teamwork, quick learning skills, and a results-oriented approach. He excels under pressure and can meet challenging deadlines, and these qualifications make him a valuable candidate for positions in ML and AI.
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Romain Thalineau
Romain is a seasoned data scientist and machine learning engineer with a Ph.D. in quantum physics and expertise in Python and the PyData stack. Having worked in three different countries for companies of all sizes, from startups to global organizations, Romain is a versatile and communicative engineer.
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Nikola Rahman
Nikola is a highly skilled ML expert with over eight years of experience. He has extensive knowledge in various business and data domains. He has worked on a wide range of projects, from training cutting-edge models for startups to delivering solutions for industry leaders. Nikola has a proven track record of building successful systems from scratch. With his expertise in building machine learning systems from the ground up, he is well-equipped to tackle any challenge that comes his way.
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Ujjwal Agrawal
Ujjwal is a seasoned lead machine learning architect with 4+ years of journey marked by reshaping credit underwriting for prominent Indian financial institutions. His adeptness at constructing end-to-end ML/AI solutions has left a transformative impact. Ujjwal's accomplishments include pioneering NLP pipelines, credit risk, and driving innovation through an AutoML SaaS product. His technical expertise includes Python, ML, data science, and full-stack development.
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Drappeau Samia
Samia is an accomplished astrophysicist turned full-stack data scientist. She has a PhD in astronomy/astrophysics and leverages her critical and creative thinking with industry-oriented problem-solving skills. She offers innovative approaches to solving data strategy and data-driven problems using custom-built machine learning and deep learning approaches. Samia has published a dozen peer-reviewed articles and a book and developed specialized apps and predictive prototypes for clients.
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Rajeev Gupta
Rajeev is passionate about data and machine learning and has more than five years of experience in data science projects across numerous industries and applications. He's currently focused on cutting-edge technologies such as TensorFlow, Keras, deep learning, and most of the Python data science stack. Rajeev has used these skills to solve many real business problems in NLP, image processing, and time series domains.
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