Hire Freelance NumPy Developers and Engineers
Sultan Orazbayev
Sultan is a data scientist with training in social sciences. He is experienced in describing key trends and patterns in data (structured/unstructured) and answering questions related to international economics, social networks, migration, and innovation. Sultan uses Python (especially Pandas, NumPy, and Dask) to deliver practical, real-world tools for government, finance, R&D, and education clients.
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Nathan Faber
Nathan is a problem solver at heart, having worked as a chemical engineer, financial data scientist, and portfolio manager. He loves to dive into messy data sets to uncover patterns and leverage the data to benefit the business. His quantitative and qualitative analysis skills in machine learning, visualization, and model creation, paired with his attention to detail and development experience in various programming languages, make him an ideal candidate for tackling any project.
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Karen Danielyan
Karen is an experienced data scientist and machine learning engineer with a solid background in mathematics and statistics and a proven work track record in the fintech and ad-tech industries. Throughout his career, he has embraced different projects, including building and deploying various models for risk scoring and advertisement-exchange optimization pipelines. Karen is keen on handling big data and machine learning pipelines from data integration to final model deployment.
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Mikhail Gurevich
Mikhail has a degree in computer science and received a certification from MADE: Academy of Big Data. He has over 10 years of overall experience handling complex data in finance across different industries. Mikhail has two years of machine learning and data science experience with a focus on neural networks, particularly CV and NLP.
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Darin Erat Sleiter
Darin is a data scientist and engineer with a PhD in physics from Stanford. He's passionate about data and machine learning and has worked on data science projects across numerous industries and applications. Darin's co-founded an AI company and led a team of data scientists to build a product which uses machine learning and optimization techniques to reduce energy consumption in data centers. He's eagerly waiting for quantum computers.
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Oliver Holloway
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. With this background, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
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Gal Niv
Gal is an experienced programmer and team leader specializing in building, maintaining, and testing large-scale data-oriented web applications. As a data analyst, he developed a few applications and software for data analysis. Gal uses his skills in data architecture, machine learning, cloud computing, and data pipelining while overseeing the performance of many services.
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Dr. Aleksandre Liluashvili
Aleksandre completed his PhD in theoretical physics in 2014. A significant part of his thesis was dedicated to developing numerical algorithms and runtime optimization. He then decided to change his career to coding, which he found to be his true passion. He has been coding for over five years, working on many projects for big German banks and primarily using Java, SQL, and Python. Aleksandre likes challenging tasks related to optimizing performance and delivering complex software on time.
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Mohamed Zenadi
Mohamed is a dependable and experienced software engineer with a solid academic background in computing and mathematics. He works with many languages (Java, Scala, and JavaScript), but he specializes in Python professionally and personally (since version 2.4). Mohamed is an easy-going, communicative professional who provides detailed answers to any query.
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John Noecker
John is a performance-driven full-stack engineer offering experience and insight into solutions to complex problems. He is a skilled communicator and leader who has successfully overseen various projects, with a proven track record of enhancing business operations based on customer specifications. John has also successfully bootstrapped his own forensic linguistics consulting startup and worked in various domains, including biomedical report summarization and author, speaker, or fraud detection.
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Aleksandar Radonic
Aleksander is a full-stack and business intelligence developer with five years of experience and a master's degree in finance. His current focus is on developing, expanding, and maintaining the cloud back-end architecture and front-end visuals in an analytics department. Aleksander is also expanding his expertise in machine learning.
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