David Kravitz

David Kravitz Email and Phone Number

Software engineer, mathematician, data engineer @ Google
Mountain View, CA
David Kravitz's Location
Los Angeles Metropolitan Area, United States, United States
About David Kravitz

Mathematician, Algorithm Engineer, Software Developer. My career has been finding value in data sets of many different types.

David Kravitz's Current Company Details
Google

Google

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Software engineer, mathematician, data engineer
Mountain View, CA
Website:
google.com
Employees:
1
Company phone:
916.253.7820
David Kravitz Work Experience Details
  • Google
    Software Engineer
    Google Sep 2020 - Present
    Mountain View, Ca, Us
    Created pipeline to process hundreds of terabytes of sessions into usable data for A/B testing. Created numerous alerting filters to detect all types of anomalies within YouTube.
  • Rand Corporation
    Data/Software Engineer And Mathematician
    Rand Corporation Oct 2015 - Sep 2020
    Santa Monica, Ca, Us
    Making numerous analytics on different types of data sets. Regularly using Spark, Keras, TensorFlow, NumPy, Pandas, etc..Teaching classes in Hadoop, Spark, and Data Science.
  • Exoanalytic Solutions
    Senior Algorithm Engineer
    Exoanalytic Solutions Jul 2013 - Sep 2014
    Foothill Ranch, California, Us
    - Implemented Metropolis-Hastings Algorithm to create probabilistic model of a classified network.- Created functional model to determine lethality descrimination of missiles under contract with MDA.
  • G2, Inc.
    Senior Software Engineer
    G2, Inc. May 2012 - Jun 2014
    Building analytics which find anomalies in network logs, designed to find malware, recognize attacks, and enable alerting. Part of deployment effort to stand up analytics on DOD systems.Created training manual and CD for specific network analysis tool (Noesis).
  • Texeltek, Inc.
    Senior Research Engineer
    Texeltek, Inc. Jul 2011 - May 2012
    Us
    • Built analytics which present massive data sets to clients and customers in a simplified manner that saves time and advances spatial relationships and data relevance. Uses mainly Hadoop MapReduce technology and Cloud Base. • Used advanced methods of data mining to surface sets of data and creates the tools, which then replicate those actions. • Established streaming sets of data delivered to corporate servers for the use of analytics and research and development. • Continued to develop skills in Java with on-the-job training and performing programming tasks.
  • United States Department Of Defense
    Applied Mathematician
    United States Department Of Defense Aug 2006 - Jun 2011
    Washington, Dc, Us
    • Worked closely and successfully with computer programmers, engineers, analysts, and other mathematicians. • Evaluated several years of scientometric data to find new trends in technology research. This involved detailed analysis of giant data set using several types of clustering algorithms. Managed database, computer science interns, and full-time employees as part of this project. Presented award for outstanding management of employees. • Used state-of-the-art graph algorithms to investigate structure of specific classified contact networks. Found structure in networks which, in turn, found many people of interest that were previously unnoticed within analysis. • Invented algorithm to sift through massive amount of a specific type of data which resulted in funding for brand new question-focused database, and creation of several new government careers. Subsequently co-led entire research group dedicated to finding more points of interest in the new data. • Presented with monetary and time-off awards for tremendous value of findings, quote on award said “greatly exceeded what was believed to be possible.” • Completed Cryptologic Mathematics Program in 2009. Presented modification of classified algorithm at several conferences. Presented at three SIGDEV conferences 2008-2010.
  • Carnegie Mellon University
    Graduate Student
    Carnegie Mellon University Sep 2000 - May 2006
    Pittsburgh, Pa, Us
    Doctoral student in Algorithms, Combinatorics, and Optimization.

David Kravitz Skills

Mapreduce Hadoop C Java Linux Matlab Computer Science Analysis Research Cloud Computing C++ Algorithm Analysis Python Pysp

David Kravitz Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    And Optimization
  • University Of Delaware
    University Of Delaware
    Mathematical Sciences

Frequently Asked Questions about David Kravitz

What company does David Kravitz work for?

David Kravitz works for Google

What is David Kravitz's role at the current company?

David Kravitz's current role is Software engineer, mathematician, data engineer.

What is David Kravitz's email address?

David Kravitz's email address is kr****@****ast.net

What is David Kravitz's direct phone number?

David Kravitz's direct phone number is +144347*****

What schools did David Kravitz attend?

David Kravitz attended Carnegie Mellon University, University Of Delaware.

What skills is David Kravitz known for?

David Kravitz has skills like Mapreduce, Hadoop, C, Java, Linux, Matlab, Computer Science, Analysis, Research, Cloud Computing, C++, Algorithm Analysis.

Who are David Kravitz's colleagues?

David Kravitz's colleagues are Ganesh Bind, 王俊仁, Jaya Prakash, Sumit Rangi, Nathan Nguyen, Alperen Taban, Joris Van Mens.

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