Resumes
Resumes
Reuven Kashi
View pagePosition:
Quantitative Data Modeling and Analytics Development at JP Morgan Chase
Location:
Greater New York City Area
Industry:
Computer Software
Work:
JP Morgan Chase since Jun 2008
Quantitative Data Modeling and Analytics Development
Bear Stearns Apr 2005 - Jun 2008
Vice President
Rutgers Center for Operations Research, Rutgers University, Piscataway, NJ Sep 2003 - Mar 2005
Postdoctoral Researcher
Quantitative Data Modeling and Analytics Development
Bear Stearns Apr 2005 - Jun 2008
Vice President
Rutgers Center for Operations Research, Rutgers University, Piscataway, NJ Sep 2003 - Mar 2005
Postdoctoral Researcher
Education:
Bar-Ilan University
Ph.D., Computer ScienceDissertation titled Quantitative Data Mining Using Data Visualization Bar-Ilan University
M.Sc., Computer Science Magna cum LaudeUniversityÃÂâÃÂÃÂÃÂÃÂs Award for Excellence of best M.Sc. Thesis Field of Research: Data Mining and Knowledge Discovery Thesis subject: A New and Versatile Method for Association Generation Bar-Ilan University
B.Sc., Computer Science & Mathematics Magna cum LaudeDean's Award for Undergraduate Top-10 List of Excellence
Ph.D., Computer ScienceDissertation titled Quantitative Data Mining Using Data Visualization Bar-Ilan University
M.Sc., Computer Science Magna cum LaudeUniversityÃÂâÃÂÃÂÃÂÃÂs Award for Excellence of best M.Sc. Thesis Field of Research: Data Mining and Knowledge Discovery Thesis subject: A New and Versatile Method for Association Generation Bar-Ilan University
B.Sc., Computer Science & Mathematics Magna cum LaudeDean's Award for Undergraduate Top-10 List of Excellence
Skills:
Algorithms Design and Analysis
Data Modeling
Implementation and Analysis
Data Mining and Knowledge Discovery
Optimization of Large Scale Problems
Algorithms for Massive Data Sets
Automatic Hypotheses Generation
Data and Information Visualization
Data Modeling
Implementation and Analysis
Data Mining and Knowledge Discovery
Optimization of Large Scale Problems
Algorithms for Massive Data Sets
Automatic Hypotheses Generation
Data and Information Visualization