Hire Freelance Dask 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.
Show MoreTarek Mohamed Mehrez
Tarek is an EM/Architect/SWE with experience building tech products from the bottom up. He specializes in software architecture, DevOps, back-end development, data engineering, and production-ready machine learning components build. Tarek believes in bringing strong business values to the table, with technology being a tool, not an end goal.
Show MoreAldwyn Cabarrubias
Aldwyn is a sophisticated cloud engineer whose years of experience in software and web engineering have been committed to building scalable and robust enterprise-grade system applications, bots, and site reliability tools. His expertise revolves around anything AWS using infrastructure-as-code and a Python TypeScript stack combination for service-oriented architecting and automation. He gives credence to Occam's Razor principle regarding decision-making and problem-solving.
Show MoreBrian Todd
Brian is an experienced data scientist and machine learning engineer with a track record of researching and deploying a wide range of models for natural language processing (NLP) tasks, computer vision algorithms, classical machine learning algorithms, Bayesian statistical models, time series analysis models, and large-scale data mining algorithms.
Show MoreMaayan Keshet
Maayan is a seasoned engineer with code running at financial institutions, hospitals, and government agencies. Utilizing his in-depth knowledge of networking, operating systems, and efficient processing of copious amounts of data, he excels at building in mission-critical, highly performant, and distributed systems. Recently, Maayan has focused on blockchain, machine learning and algorithmic trading projects as well as tutoring and lecturing.
Show MoreSam Rogers
Sam is a data engineer who specializes in creating AWS solutions for ETL. Due to his attentiveness and drive for excellence, he has continuously provided scalable, repeatable, and cost-effective solutions to process data at scale. Where Sam thrives is on projects running his Python code and AWS resources but he has a working understanding of Google Cloud and Azure as well.
Show MoreYaroslav Kopotilov
Yaroslav is a full-stack data scientist with experience in business analysis, predictive modeling, data visualization, data orchestration, and deployment. He leverages a wide range of machine learning methods, statistics, and business insights to find just the right solution for a problem. Above everything else, Yaroslav aims to deliver a project that would be truly useful for his clients.
Show MoreTayyab Nasir
Tayyab is a software engineer and researcher with a demonstrated history in the computer software industry. He has a master's degree in computer science and more than six years of experience working with different technology stacks, building products for various market domains and, most extensively, for healthcare. Tayyab is a data scientist specializing in full-stack web development, primarily working with Python, Microsoft technologies, React, and Angular.
Show MoreShane Keller
Shane is a machine learning engineer with skills in data science, data engineering, and cloud automation. He has a track record of developing big data applications and experience with all aspects of building production-grade machine learning systems, including big data collection, model development, model deployment, and infrastructure.
Show MoreHristijan Bogoevski
Hristijan graduated from the University of Waterloo with a bachelor's in computer science. He has completed six internships, each four months long, at Facebook (caching infrastructure), Asana x2 (security, stability, internal framework), Opendoor (data engineering), Yext (full-stack), and Sift Science (machine learning). He has also done competitive programming and academic research.
Show MoreMatthew Alhonte
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
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