Data Science and Databases

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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.

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Juan Manuel Ortiz de Zarate

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.

14 minute readContinue Reading
Michael Hopf

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.

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Surbhi Gupta

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.

7 minute readContinue Reading
Leandro Roser

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.

14 minute readContinue Reading
Bharat Garg

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.

11 minute readContinue Reading
Rudolf Eremyan

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.

12 minute readContinue Reading
Juan Manuel Ortiz de Zarate

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.

Toptal Engineering Expert

Gabriel Courtemanche

Gabriel is a highly efficient and reliable professional who possesses a broad skill set for web application development. He's been working on a range of products and clients—from working on scalability problems in production engineering teams at Shopify and Autodesk to launching new applications for startups. Most of his work consists of leading technical teams, by creating an easy development environment, fixing technical debts, providing best practices code examples, and mentoring devs.
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