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Laura Tolosi
Laura has a Ph.D. from the Max Planck Institute for Informatics, Germany, in the field of computational biology, focused on cancer biomarker detection using statistics and machine learning. She worked on projects in the field of natural language processing such as named entity recognition, sentiment analysis, fake news detection. Recently, she has worked on applying reinforcement learning methodology for trading financial instruments.
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Juan Manuel Ortiz de Zarate
Currently, Juan is a PhD candidate at the University of Buenos Aires, researching the subjects of AI, NLP, and social networks. He has over a decade of professional development experience under his belt. For the last few years, he’s been immersing himself in various types of data science projects and loving every minute of it. Juan relishes taking on data problems, building prediction models, and learning state-of-the-art techniques.
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Claudio Aldana
Claudio is a seasoned IT specialist focused on business outcomes, along with having a solid engineering background. He's applied data science to optimize customer satisfaction, product personalization, and customer churn. Claudio is also a certified SharePoint expert and has worked with prominent Microsoft customers, helping them to maximize security, performance, and usability.
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Sung Jun (Andrew) Kim
As a highly effective technical leader with over 20 years of experience, Andrew specializes in data: integration, conversion, engineering, analytics, visualization, science, ETL, big data architecture, analytics platforms, and cloud architecture. He has an array of skills in building data platforms, analytic consulting, trend monitoring, data modeling, data governance, and machine learning.
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Ivan Poleschyuk
Ivan is a passionate machine learning engineer and full-stack software developer. His expertise includes machine learning and computer vision technologies, with proficiencies in Python and R in the data science field. Ivan holds a master's degree in computer science and is experienced in leading and managing development teams.
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Andrew Tilley
Andrew has nearly 10 years of experience deploying predictive algorithms and end-to-end data solutions, increasing his companies' net revenue by tens of millions of dollars. His technical acumen, combined with deep communication skills to both technical and non-technical colleagues, ensures he has a broad impact across teams who work with him. Whether the end result is a data product or a detailed analysis, Andrew relishes the opportunity to solve business problems with machine learning.
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