Toptal Engineering Expert
Mining for Data Clusters: Social Network Analysis With R and Gephi
Explore X (formerly Twitter) data clusters to uncover user behaviors (e.g., repost and reply patterns) within online communities. This guide focuses on a politically charged data set to illustrate the process of visualizing and analyzing social data.
Juan Manuel Ortiz de Zarate
Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences, including SPIRE and ICCS.
Supply Chain Optimization Using Python and Mathematical Modeling
Improving supply chains is a top priority worldwide. Discover how mathematical optimization and Python coding can help keep a complex supply chain competitive.
Michael Hopf
Michael is a developer, data science consultant, and expert in supply chain optimization for heavy industry clients in rail, vessels, and mining. He has a PhD in mathematical optimization and was a consultant in the analytics practice of McKinsey & Company’s QuantumBlack for four years.
Identifying the Unknown With Clustering Metrics
Clustering in machine learning has a variety of applications, but how do you know which algorithm is best suited to your data? Here’s how to amplify your data insights with comparison metrics, including the F-measure.
Surbhi Gupta
Surbhi is a data scientist and developer with expertise in machine learning and robotics. A former senior data science engineer at Utopia Global, her experience ranges across ML fields including NLP, computer vision, and OCR. She has a master’s degree in mechatronics, and has published research in the field of robotics and optimization.
Python vs. R: Syntactic Sugar Magic
Python and R empower data scientists to solve problems using elegant syntactic sugar, simplifying coding and solution exploration. Each language brings its unique capabilities and approach to bear.
Leandro Roser
Leandro is a data scientist and machine learning developer who creates solutions for companies, including Profasee and Boston Consulting Group. He has expertise with TensorFlow, Spark, Python, and R.
Social Network Analysis Using Power BI and R: A Custom Visuals Guide
Microsoft’s Power BI is one of the most popular software solutions used to perform social network analysis. Here’s how to create custom Power BI visuals in R for compelling and flexible results.
Bharat Garg
Bharat is a data scientist and developer who specializes in designing and developing interactive reports and tools to facilitate decision-making. He has worked with small startups and large corporations, such as Comcast, MetLife, UnitedHealth Group/Optum, and Jefferson Health. One of Bharat’s projects delivered $6 million in revenue, and another delivered $10 million in savings.
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Efficiency at Scale: A Tale of AWS Cost Optimization
Understanding total spend is a common challenge for cloud users, especially on projects with complex pricing models. This article explores the top AWS cost optimizations that will help you scale your platform effectively.
Rudolf Eremyan
Rudolf is a data scientist who has architected big data processing infrastructures on AWS and implemented data engineering solutions for Fortune 500 companies, including Disneyland Hong Kong and Philip Morris. He was invited to participate in NASA’s 2021 International Space Apps Challenge as a speaker and judge.
Understanding Twitter Dynamics With R and Gephi: Text Analysis and Centrality
Centrality and text analysis allow users to get more out of their social network data. Here’s how you can leverage them using R and Gephi.
Juan Manuel Ortiz de Zarate
Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences, including SPIRE and ICCS.
World-class articles, delivered weekly.
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