Toptal is a marketplace for top remote data scientists. Top companies and start-ups in Boston choose Toptal Data Science freelancers for their mission-critical initiatives.
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Data Scientist
Jonathan is a full-stack engineer who's as comfortable working on large-scale distributed systems as he is on client-facing single-page web apps. Jon also e...xcels at working with big data, and has frequently worked on a petabyte scale.
Data Scientist
With a PhD in Computer Science from the University of Michigan, Azarias has worked at large tech companies like LinkedIn and Microsoft, and has led two star...tups as CTO. His technical expertise is web development and machine learning in Python. He has built large-scale web applications (primarily with Django), worked on many data science projects, and managed teams of engineers. His favorite projects combine web development with data engineering.
Data Scientist
Brian has over 15 years of experience as a full-stack developer, including creating a #1 iOS game in 2008 and scaling Yahoo! ad servers. Brian's strengths a...re adaptability, clear communication, and a relentless focus on the details that get projects shipped.
Data Scientist
Matt has worked on everything from web development in .NET and embedded development in C to low-level Windows development, rich client development in JavaSc...ript using EmberJS, web applications in Go, and mobile applications in iOS. He is very quality-focused and gets things done efficiently. As a startup veteran, he knows how to start from nothing and build impossible things on impossible schedules.
Data Scientist
Dr. Karvetski has ten years of experience as a data and decision scientist. He has worked across academia and industry in a variety of team and client setti...ngs, and has been recognized as an excellent communicator. He loves working with teams to conceive and deploy novel data science solutions. He has expertise with R, SQL, MATLAB, SAS, and other platforms for data science.
Data Scientist
Abraham is a database pro with over 30 years of experience in IT. With an extensive background in management, sales, and finance, he specializes in systems... integration, conversion, migration, customization and performance tuning, analysis, design, and the development and implementation of computer systems, particularly in Oracle and Unix environments. His primary concern is to satisfy the needs of management and the end user through innovation.
Data Scientist
Lawrence is a software developer and quantitative analyst with over 12 years of experience in software development and quantitative modeling. He's worked at... Citigroup, Traxis Partners, as well as co-founding a Y-Combinator funded startup. Lawrence prefers projects that use both his financial and programming backgrounds, but he also enjoys working with and analyzing data—either in analysis, visualization, or machine learning.
Data Scientist
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 progra...mming (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.
Data Scientist
Chris is an experienced data scientist with over 4 years' experience working independently and in the government subcontracting space with a leading data an...alytics firm. His well-rounded university education and work history include a magna cum laude undergraduate degree in physics, a master's in music composition, an advanced degree from Galvanize Data Science Immersive, and a deep learning specialization from deeplearning.ai.
Data Scientist
Edward is a big data/senior cloud architect and a longtime leader of successful large and risky data project deliveries via Agile methods. Currently, he's w...orking with Fortune 500 companies on major transformation initiatives and digital modernization, i.e. cloud strategies. He specializes in Azure Data Factory, SQL, data lakes, Azure Databricks, Spark, Blob Storage, Azure Data Warehouse CosmosDB, logic apps, Azure Functions, Power BI, & Tableau.
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The Protein Data Bank (PDB) bioinformatics database is the world's largest repository of experimentally-determined structures of proteins, nucleic acids, and complex assemblies. All data is gathered using experimental methods such as X-ray, spectroscopy, crystallography, NMR, etc. This article explains how to extract, filter, and clean data from the PDB to make it suitable for further analysis.
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