Jacqueline Gutman
Data Scientist at Plated

Project Portfolio

Curriculum Vitae


New York University , New York, NY
Master of Science in Data Science, 2016
Doctoral coursework in Department of Psychology, 2013-2014
GPA: 3.94

University of Rochester , Rochester, NY
Bachelor of Science in Brain and Cognitive Sciences, 2012
High Honors in Research, Highest Distinction in Brain and Cognitive Sciences
GPA: 3.97 summa cum laude (top 2% of class)

Computational Skills

Statistical software and libraries
R [tidyverse (ggplot2, dplyr, tidyr, etc.) sem, psych, mi, lme4, nlme, lavaan, knitr, lattice, merTools, rstan], SPSS, Stata, MATLAB, MPlus, STAN

General programming languages
Python [scikit-learn, numPy, sciPy, pandas, psycopg2, nltk, gensim, matplotlib], Java

Other specialized software and scripting languages
MySQL/PostgreSQL, Hadoop MapReduce, AWS, Git, Jupyter, bash scripting

Statistical methods
Predictive modeling, hierarchical/multilevel modeling, Bayesian modeling, natural language processing, causal inference, propensity score matching, multiple imputation, factor analysis

Work Experience

Plated, a subsidiary of Albertsons Companies (October 2017-present)
Data Scientist

Institute for Innovations in Medical Education, New York University Langone Health, Division of Learning Analytics (October 2016-October 2017)
Associate Research Scientist & Data Scientist

Center for Data Science, New York University (January 2016-May 2016)
Graduate Teaching Fellow & Grader for Machine Learning

Data Services, NYU Bobst Library (May 2014-August 2014)
Quantitative Data Consultant
Expertise in MATLAB, SPSS, and R

Computer Science Department, Rochester (September 2010-May 2011)
Laboratory Teaching Assistant & Workshop Leader

New York Heart Research Foundation (November 2008-January 2010)
Clinical Research Intern & Budget Assistant

Data Science for Social Good, University of Chicago (May 2016-August 2016)
Data Science for Social Good Summer Fellow

Department of Applied Statistics, NYU Steinhardt School (October 2015-present)
Graduate Research Assistant

Department of Psychology, New York University (September 2014-May 2015)
Statistics Teaching Assistant & Grader
Analysis of Variance, Master's Statistics, Introduction to Psychology

Independent Statistical Consultant (January 2016-March 2016)
Clients referred by the NYU Department of Psychology

Preprofessional Advising Center, NYU (August 2014-August 2015)
Academic Advisor specializing in prehealth undergraduates

CUNY Baruch School of Public Affairs (August 2012-December 2012)
Healthcare Policy Research Assistant

Human Language Processing Lab, Rochester (September 2009-July 2011)
Bilski-Mayer Research Fellow & Undergraduate Research Assistant

Scholarships, Honors, and Awards

Data Science Scholarship, New York University (2014-2016)

PSLC LearnLab Summer School Graduate Student Scholarship (2015)

Take Five Scholarship, University of Rochester (2011-2012)

Wilder Trustee Scholarship, University of Rochester (2009-2011)

Summa cum laude, University of Rochester (2012)

High Honors in Research, University of Rochester (2011)

Highest Distinction in Brain & Cognitive Sciences, University of Rochester (2012)

Bilski-Mayer Research Fellowship, University of Rochester (2010)

Undergraduate Writing Colloquium Prize in the Natural Sciences (2010)

Vassar College Undergraduate Research Summer Institute Fellowship (2008)

Justice Louis Brandeis Scholarship, Brandeis University (2006-2007)

National Merit Scholarship (2006-2007)

Thesis Projects

Bachelor's thesis: Cultural transmission of grammatical structure: Using a web-based iterated learning paradigm to investigate the emergence of systematicity in syntax
[Completed and defended May 2011]
[Advised by T. Florian Jaeger, University of Rochester]

Master's capstone: Predicting the influence of the proposed Queens lightrail on real estate prices of nearby properties
[Completed and presented December 2016]
[Advised by Lucien Wilson, KPF Urban Interface]

About Me

I'm currently a data scientist at Plated, a meal kit company based in NYC and subsidiary of Albertsons. Previously, I worked as an associate research scientist and data scientist in the Division of Learning Analytics at the Institute for Innovations in Medical Education of the NYU School of Medicine, where I did research on the use of feedback, refresher education, and adaptive content delivery systems in medical education with Dr. Martin Pusic.

I earned my M.S. in Data Science from the NYU Center for Data Science, where I worked as a teaching assistant, graduate researcher, and statistical consultant.

My background is in educational measurement, cognitive science, and machine learning, with a strongly computational and Bayesian orientation. I earned my B.S. in Brain & Cognitive Sciences from the University of Rochester in 2012, where I concentrated in psycholinguistics and language development.

I transition pretty fluidly between Python, R, and SQL, and typically use all three in tandem for most projects, as the task requires.

Substantively, my primary research interests lie at the intersection of educational technology, measurement, and computer supported collaborative learning. Currently I'm interested in:

1) developing a framework for the assessment of collaborative problem-solving within educational technology platforms,

2) understanding the relationship between metacognitive and cognitive factors in modeling learning growth curves, and

3) applying causal inference methods to policy evaluation in interventions addressing educational access, refugee services, and racial justice.

Contact Jackie