Silicon Valley Data Science
Director, Communications at Silicon Valley Data Science
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Teaching a year-long course on Data Metrics and Visualization to second-year MFA students.
Logo design, brochures, program covers, posters, etc. Work done primarily in InDesign but also in Quark and PageMaker.
Acquiring and developing titles related to: Python, SQL, and PHP; web frameworks/CMSs (Django, Drupal, Joomla, WordPress); databases (Oracle, MySQL, PostgreSQL); big data and cloud computing; and IT for healthcare.
Worked on treatises, pamphlets and newsletters related to bankruptcy, commercial and banking law. Also worked with SGML and XML tagging for print and online content, and related systems.
The O'Reilly Strata Rx Conference is one of the first events in the world that brings leading experts together to advance personalized and predictive medicine by harnessing the explosion of healthcare data---from next-generation DNA sequencing to electronic health records, longitudinal claims data, and personal health device data (mobile health/quantified self).
Instrumenting the O'Reilly Strata conferences to give you a taste of your life in a more measured and quantified world. By instrumenting the conference environment with basic off-the-shelf sensors and mesh networking, we will observe and report on the conference, and generate interesting sociological data from the distributed sensor network.
With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. Think of the familiar map of the New York City subway system, or a diagram of the human brain. These older examples have been surpassed by artists, designers, commentators, scientists, analysts, statisticians, and others who show how visualizations using today's digital capabilities can help us make sense of the world.
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.
Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process.
- Learn data visualization classifications, including explanatory, exploratory, and hybrid
- Discover how three fundamental influences—the designer, the reader, and the data—shape what you create
- Learn how to describe the specific goal of your visualization and identify the supporting data
- Decide the spatial position of your visual entities with axes
- Encode the various dimensions of your data with appropriate visual properties, such as shape and color
- See visualization best practices and suggestions for encoding various specific data types
In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative.
As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven.
The traditional cycle in the fashion industry starts on the runway, with designs that are finally available for consumer purchase several months later. But as this O’Reilly report shows, consumers are now an integral part of the full fashion cycle—even before some styles come to fruition—as fashion innovators find new ways to bring data analytics to the industry.
Through interviews with several fashion startups, authors Liza Kindred and Julie Steele reveal that these pioneers are talking to customers and getting valuable data from them, in ways that other industries would be wise to emulate. Some aspects of fashion are becoming more agile, as startups such as Poshly, Rent the Runway, and Stich Fix respond to customer input on sizing, preference, and more.
As you’ll discover, data science has already made big alterations to the $3 trillion fashion industry, via a growing number of fashion data tools and trends, including custom fit and local manufacturing. At the same time, there is lots of room for exploration and innovation, especially in the areas of machine vs human insight, image processing, and online vs offline data collection.
Activities and Societies: Chorale, student government, field hockey, lacrosse, National Honor Society
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