Russell Jurney

Bio

At Graphlet AI we build autonomous agents powered by entity resolved knowledge graphs for companies large and small. We build large knowledge graphs from structured and unstructured data: millions, billions or trillions of nodes and edges. I lead the Spark GraphFrames project, widely used in entity resolution for connected components. I have a 20 year background and teach network science, graph machine learning and NLP. I built and product managed LinkedIn InMaps and Career Explorer. I was a visualization engineer at Ning (Marc Andreesen's social network), evangelist at Hortonworks and Principal Data Scientist at Walmart. I coined the term "agile data science" in 2009 (from 0 hits on Google) and wrote the first agile data science methodology in Agile Data Science (O'Reilly Media, 2013). I improved it in Agile Data Science 2.0 (O'Reilly Media, 2017), which has a 4-star rating on Amazon 8 years later (code still works). I wrote the 1st fully data-driven market report for O'Reilly Media in 2015. I'm an Apache Committer on DataFu, I wrote the Apache Druid onboarding docs, and I maintain graph sampler Little Ball of Fur and graph embedding collection Karate Club.