Data Science and Databases

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An Expert Workaround for Executing Complex Entity Framework Core Stored Procedures

Microsoft’s Entity Framework Core is a popular object-relational mapper, but it doesn’t support the return of complex type results from stored procedures. A clever bit of code gets us around this limitation, returning non-database entities with ease.

6 minute readContinue Reading
Pankaj Kansodariya

Pankaj Kansodariya

Pankaj is a back-end developer and Microsoft Certified Professional with more than 18 years of experience within the Microsoft ecosystem, including C#, VB.NET, SQL Server, and cloud computing with Microsoft Azure. He has worked as a .NET developer at companies including Granicus, Gartner, and Jacobs.

Strategic Listening: A Guide to Python Social Media Analysis

Listening is everything—especially when it comes to effective marketing and product design. Gain key market insights from social media data using sentiment analysis and topic modeling in Python.

10 minute readContinue Reading
Federico Albanese

Federico Albanese

Federico is an expert Python developer and data scientist who has worked at Facebook, implementing deep learning models. He is a university lecturer, and his PhD research focuses on natural language processing and machine learning.

Mining for Twitter Clusters: Social Network Analysis With R and Gephi

Explore Twitter data clusters to discover keywords that dominate identified groups. Focusing on a politically slanted data set provides an easy target for analysis.

8 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.

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.

13 minute readContinue Reading
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.

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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.

15 minute readContinue Reading
Bharat Garg

Bharat Garg

Bharat is a data scientist and developer who excels at 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.

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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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