Graphing Delays, Cancellations, & Diversions: Modeling US Flight Data in Neo4j
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  Nicole White   Nicole White
Chief Data Scientist
Neo Technology


Tuesday, August 19, 2014
05:00 PM - 06:00 PM

Level:  Case Study

For any airline carrier, efficiency is key: delayed or cancelled flights and long taxi times often lead to unhappy customers. Flight planning is one the most complex optimization and scheduling problems out there, requiring a deep analysis of flight and airport data. Modeling this connected data in Neo4j provides new graph-based insights on how to minimize delays, cancellations and diversions and maximize efficiency and customer happiness.

Nicole grew up in Kansas City, Missouri and then spent four years at LSU in Baton Rouge, Louisiana where she got a degree in economics with a minor in mathematics. She then went to the University of Texas at Austin where she got her masters degree in analytics, and it was during this time that she found Neo4j and began playing around with it. When she's not graphing all the things, she spends her time playing card games and board games.

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