The Data Standard
With increasingly advanced and widespread data capture technologies and applications, massive multi-source traffic data such as mobile communication data, GPS data, AFC card data, Wi-Fi probe data, etc., provides valuable data resources for public transport operations. The recent idea of using big data technology to assist public transport operations can help to achieve passenger analysis, passenger intelligent control, and train operation systems.
Optimizing operations, cutting costs and increasing revenues: These are the challenges facing almost every company in the public transportation sector. Companies that want to meet these challenges and ensure future success should utilize the potential of new technologies such as big data.
Kim Martin, Director, Infrastructure Data Science and Engineering at Netflix, sits down with TDS to discuss data in the public transportation space.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Director, Infrastructure Data Science and Engineering at Netflix
Kim Martin has been a professional computer scientist for 20 years specializing in data engineering, machine learning, and tech leadership. She has spent her career working on complex big data problems for organizations across the education, entertainment, finance, robotics, and travel domains. She’s created big data solutions, recommendation engines, and custom search applications for the Department of Defense, Cubic, BandPage, Avis/Budget, Eli Lilly, the Architect of the Capitol, and HBO among others. Kim is a former YouTuber and Googler, who now innovates at Netflix by leading the Platform Data Science and Engineering team tackling some of the hardest infrastructure problems on the planet. Kim holds a BS in Mathematics from Carnegie Mellon University, a Masters in Interactive Telecommunications (Physical Computing) from New York University, and an MS in Computer Science (Artificial Intelligence, Machine Learning) from UMass Amherst. She is an avid golfer, a mediocre pianist, and a passionate advocate for gender and ethnic diversity in tech.