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Jeffrey Saltz

Jeffrey Saltz

Associate Professor

233 Hinds Hall

jsaltz@syr.edu

Overview

My research focuses on the socio-technical issues relating to data science, such as data science project management, and how teams should work together to "do" data science.


My 20+ years of industry experience has often focused on building new teams that leverage emerging technologies and data analytics to deliver innovative business solutions. In my last corporate role, I worked at JPMorgan Chase. At JPMC, I reported to the firm's Chief Information officer while helping to drive innovation throughout the firm. I also held several other key management positions at the company, including CTO (Consumer and Community Banking Risk Management), Chief Information Architect (Chase Financial Services), global head of eBusiness technology and vice president of computational technology. I previously served as chief technology officer and principal investor at Goldman Sachs/Goldman Sachs Ventures, where I invested and helped incubate technology start-ups. I started my career as a programmer, project leader and consulting engineer with Digital Equipment Corp (now part of HP). 


 I received my B.S. in computer science from Cornell University, an M.B.A. from The Wharton School at the University of Pennsylvania and a Ph.D. in Information Systems from the New Jersey Institute of Technology. 




Professional

I am working on a data science project management web site - check it out: www.datascience-pm.com



Research

Big Data Science: Methodologies to improve the process teams use while performing data projects

My key research question is “would having a well defined methodology improve the results of teams doing big data projects”. While data science projects are growing in frequency and importance, the growth in the use of data science has outstripped the knowledge of how to structure projects and project teams to ensure that they perform reliably and effectively. This is similar to the early days of software development: software was being developed but organizations had little ability to predict whether a project would be successful, on time or on budget and projects were overly reliant on the heroic efforts of particular individuals. 

Teaching


Teaching History - 2020-2021
Semester Course Section Title
Fall 2020 IST687 M001 Introduction to Data Science
Fall 2020 IST687 M008 LAB: Introduction to Data Science
Teaching History - 2019-2020
Semester Course Section Title
Fall 2019 IST687 M001 Introduction to Data Science
Fall 2019 IST387 M001 Intro to Applied Data Science
Fall 2019 IST687 M008 LAB: Introduction to Data Science
Teaching History - 2018-2019
Semester Course Section Title
Fall 2018 IST687 M001 Introduction to Data Science
Fall 2018 IST387 M001 Intro to Applied Data Science
Fall 2018 IST687 M008 LAB: Introduction to Data Science
Spring 2019 IST687 M407 Introduction to Data Science
Summer 2019 IST687 M001 Introduction to Data Science
Summer 2019 IST687 M400 Introduction to Data Science
Teaching History - 2017-2018
Semester Course Section Title
Fall 2017 IST687 M001 Applied Data Science
Fall 2017 IST387 M001 Intro to Applied Data Science
Fall 2017 IST687 M007 LAB: Applied Data Science
Spring 2018 IST687 M001 Introduction to Data Science
Spring 2018 IST387 M001 Intro to Applied Data Science
Spring 2018 IST600 M003 Data Science Projects for Publ
Summer 2018 IST687 M001 Applied Data Science
Summer 2018 IST387 M001 Intro to Applied Data Science
Teaching History - 2016-2017
Semester Course Section Title
Fall 2016 IST687 M001 Applied Data Science
Fall 2016 IST687 M400 Applied Data Science
Spring 2017 IST687 M001 Applied Data Science
Spring 2017 IST687 M400 Applied Data Science
Summer 2017 IST687 M001 Applied Data Science
Teaching History - 2015-2016
Semester Course Section Title
Fall 2015 IST687 M001 Applied Data Science
Fall 2015 IST687 M002 Applied Data Science
Spring 2016 IST687 M001 Applied Data Science
Spring 2016 IST687 M004 LAB: Applied Data Science
Teaching History - 2014-2015
Semester Course Section Title
Fall 2014 GET472 M001 Professional Experience in GET
Fall 2014 GET410 M800 Contemporary Issues in GET:
Fall 2014 IST687 M001 Applied Data Science
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