Toptal is a marketplace for top remote R developers. Top companies and start-ups in Boston choose Toptal R freelancers for their mission-critical initiatives.
We've been blown away by the level of talent we've been able to hire through Toptal.
Carl Dunham
R Developer
Carl has a lifelong passion for building software, systems, and teams. He caught the bug in college, began working with a startup the summer before graduati...on, and hasn't stopped since. He loves learning new languages and technologies, and most of all, he like using them to build large, interesting things.
Timofey Nevolin
R Developer
Timofey is a software architect and developer with proven ability to develop efficient, scalable, and fault-tolerant server solutions for complex problems.... He has excellent analytic abilities and extensive experience with big data real-time processing, server solutions, and web services.
Christopher Karvetski
R Developer
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.
Victor Davis
R Developer
Victor has a natural understanding of math and statistics, data analysis, query languages, and scripting languages. He is intellectually curious, quick to m...aster new concepts, and always hungry for a challenge. He communicates extremely well and is equally comfortable working alone or as part of a team.
Lawrence Zhou
R Developer
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.
Alejandro Correa Bahnsen
R Developer
Alejandro holds a PhD in Machine Learning. He has over 8 years of experience developing data science projects in different areas such as credit card fraud d...etection, credit scoring, collections, churn, and direct marketing. He enjoys giving talks on successful applications of big data science to different organizations. Moreover he is an active contributor to several open source projects such as scikit-learn.
Sameh Awaida
R Developer
Sameh is a successful data scientist and assistant professor experienced in computer and electrical engineering with more than 20 journal publications, conf...erence papers, and patent applications in the fields of pattern recognition, data science, and machine learning. He possesses expert level skills and accomplishments in numerous technologies and formats.
Robert Tan
R Developer
Robert has experience working with clients in the United States, Canada, Qatar, Jamaica, UAE, and the UK.
He develops interactive data applications and e...xcels at data harvesting, cleaning, and visualization. He leads projects with the utmost professionalism and care.
Past clients include an international airport, and two property management firms with a combined AUM of $54 billion.
Michael Newlin
R Developer
Michael has over 20 years of experience as a professional developer as well as over 15 years of experience as a full-stack web and data developer with curre...nt expertise in React, .Net Core, C#, SQL, Bootstrap, Python, and many scientific and machine learning frameworks. He has developed solutions for large organizations such as Walmart and Home Depot and has developed full-stack solutions for startup companies from inception to launch.
Alex Risman
R Developer
In Alex's current role, he uses artificial intelligence to automatically detect diseases in 2D and 3D medical images along with some algorithms to achieve s...uperhuman performance. Previously, he worked as a data scientist at an eCommerce company, where he built and deployed a deep-learning-based product search engine.
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As a language, R is strongly tied to data and is thus used mostly by statisticians and data scientists. Many who already use R for machine learning, though, are not aware that data munging can be done faster in R, meaning another tool is not required for that task. In this article, Freelance Software Engineer Jan Gorecki explores tabular data transformations and introduces us to one of the fastest open-source data wrangling tools available.
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