Peter Skomoroch

Peter Skomoroch
Principal Data Scientist, LinkedIn

Website | @peteskomoroch | Attendee Directory Profile

Pete Skomoroch is a Principal Data Scientist at LinkedIn focused on reputation systems, personalization, and creating data driven products like LinkedIn Skills. Before joining LinkedIn, he was the Director of Advanced Analytics at Juice Analytics and a Sr. Research Engineer at AOL Search. Prior to AOL, he implemented pattern detection algorithms for streaming sensor data at MIT Lincoln Laboratory and constructed predictive models for large retail datasets. Pete has a B.S. in Mathematics and Physics from Brandeis University and blogs at DataWrangling.com.

Sessions

4:00pm Tuesday, 02/28/2012
The Data Science Debate
Deep Data, A-B
Peter Skomoroch (LinkedIn), Michael Driscoll (Metamarkets), DJ Patil (Greylock Partners), Toby Segaran (Google), Pete Warden (Jetpac), Amy Heineike (Quid)
Average rating: ****.
(4.00, 1 rating)
Join leading data scientists in debating hot issues in the profession. Read more.
11:30am Wednesday, 02/29/2012
Street Fighting Data Science
Data Science, Mission City B1
Peter Skomoroch (LinkedIn)
Average rating: ***..
(3.00, 2 ratings)
New analysts or engineers are often lost when textbook approaches fail on real world data. Drawing inspiration from problem solving techniques in mathematics and physics, we will walk through examples that illustrate how come up with creative solutions and solve real world problems with data. Read more.

Sponsors

  • EMC
  • Microsoft
  • HPCC Systems™ from LexisNexis® Risk Solutions
  • MarkLogic
  • Shared Learning Collaborative
  • Cloudera
  • Digital Reasoning Systems
  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
  • Oracle
  • 1010data
  • 10gen
  • Acxiom
  • Amazon Web Services
  • Calpont
  • Cisco
  • Couchbase
  • Cray
  • Datameer
  • DataSift
  • DataStax
  • Esri
  • Facebook
  • Feedzai
  • Hadapt
  • Hortonworks
  • Impetus
  • Jaspersoft
  • Karmasphere
  • Lucid Imagination
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

For information on exhibition and sponsorship opportunities at the conference, contact Susan Stewart at sstewart@oreilly.com.

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