Paco Nathan

Paco Nathan
Evil Mad Scientist,

Website | @pacoid

Director of Data Science at Concurrent in SF, and a committer on the Cascading open source project. 10+ years leading innovative Data teams, 25+ yrs in tech industry overall. Background in math/stats and distributed computing. Expertise in Hadoop, R, AWS, predictive analytics, machine learning, and NLP. O’Reilly author: “Enterprise Data Workflows with Cascading”.


Location: Expo Hall (Table 1) Level:
Paco Nathan (
Location: Portland 255 Level: Intermediate
Paco Nathan (
As new data sets become available through municipal Open Data initiatives, how can these be leveraged to reveal insights and build services for communities? This talk shows Cascalog and Open Data from the City of Palo Alto to create a sample app. Some programming background is helpful, but the emphasis is on process: how to approach large-scale Open Data to build data products for a community. Read more.


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