Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Sandy Ryza

Sandy Ryza
Senior Data Scientist, Clover Health

@s_ryz

Sandy Ryza is a senior data scientist at Clover Health. He was previously at Cloudera doing engineering and data science. He is an author of O’Reilly’s Advanced Analytics with Spark, as well as a Spark committer and member of the Hadoop project management committee. He graduated Phi Beta Kappa from Brown University.

Sessions

9:00am–12:30pm Tuesday, 09/29/2015
Data science for Wall Street
Data Science & Advanced Analytics
 Location: 3D 03/10 Level: Advanced
Tags: financial_services
Sean Owen (Cloudera), Juliet Hougland (Cloudera), Sandy Ryza (Clover Health)
Average rating: **...
(2.96, 24 ratings)
In this tutorial, attendees will get a taste of how large-scale data science techniques and technologies developed for the consumer internet can be applied in the world of finance. We will guide an exploration of the relationship between the traffic on Wikipedia pages to the movement of stock prices. Read more.
5:25pm–6:05pm Wednesday, 09/30/2015
Estimating financial risk with Apache Spark
Spark & Beyond
 Location: 1 E20 / 1 E21 Level: Intermediate
Tags: financial_services
Sandy Ryza (Clover Health)
Average rating: ***..
(3.80, 5 ratings)
How much can you expect to lose? The financial statistic Value at Risk seeks to answer this question, but is computationally intensive to estimate. At Cloudera, we’ve assisted several organizations in using Spark to compute VaR and other financial statistics. The talk, which walks through a basic VaR calculation, aims to give a feel for what it is like to approach financial modeling with Spark. Read more.