I am an economist and statistician with 10 years academic experience (PhD, CMU, faculty U Chicago and Purdue) and 20+ years business consulting experience, using economic, financial, customer/user data as well as survey information.

I have worked in strategy consulting, public affairs research and communications, and survey research. For 5 years I led research methods and decision sciences globally at Opinion Research Corporation, and for 5 years I led the research group at FTI Consulting. In these settings, I've worked with clients as diverse as the Bill and Melinda Gates Foundation in postsecondary education, to one of the parties involved in the Gulf of Mexico oil spill, in crisis management.

I was one of the first faculty members in the University of Chicago's MS in Analytics program, where I taught a course in finding and structuring strategic analytics, and in building a business case for analytics projects in corporate settings.

Currently I am working on a start-up developing means to apply social listening tools to strategic business issues which rise to the level of senior business decision makers. Typically these involve novel means to identify higher level patterns in the political / economic / social / technological domains, and/or to place insights and patterns from fast moving or high volume sources in context against expert opinion, government rime series, etc.

I am an expert in R (coding with S well before R), SPSS, and SAS. Additionally, I am expert in survey research, supervised and unsupervised learning models of various types, econometrics, time series models, etc.

Personal information
Full name: John Watts
User name: johnstuartwatts
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: PhD on Economics and Statistics (Carnegie Mellon University)
LinkedIn profile
Volunteer availability
Start date: Nov. 2, 2020
End date: None
Hours available per week: 12
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Computer Science (Algorithms)
Python
JavaScript
SQL
Data in Relational Databases
Data in Text Files
Text Data (NLP)
Experience working on real-world problems using data
Social Science (Economics, Sociology, etc.)
Data Visualization
Experimental Methods (RCTs, A/B testing, etc.)
Data Analysis
Causal inference
Decision Trees
Time Series Models
Unsupervised models
Semi-Supervised models
SVMs
Neural Networks / Deep Learning
Random Forests
Instrumental Variables
Regression Discontinuity
Matching (e.g., Propensity Score Matching )
SPSS
R
SAS

Volunteer projects

No volunteer work yet.