About Chicago Consultancy

Chicago Consultancy is a leading consulting firm specializing in research planning, data analysis, and writing support for academic researchers, postdocs, graduate students, and trainees. We aim to help clients maximize the impact of their written and scientific communications. Services include writing help, data analysis support, and coaching for capstone projects, research papers, manuscripts, reports, and oral presentations and posters for small to large and complicated projects.

Our Expertise

Our team consists of highly qualified professionals with extensive experience in academic research, business analytics, and data science. We are dedicated to leveraging our expertise to provide tailored consulting solutions that meet the particular needs of our clients.

Youngjo Im, Ph.D. (Pronouns: she/her/hers)

Principal Consultant, Chicago Consultancy

Education

Ph.D. (Doctor of Philosophy), University of Chicago
M.S. (Master of Science in Data Science), University of Chicago
M.A. (Master of Arts), University of Chicago

Specialization

Child and Youth Development
Educational Attainment and Employment
Applied Statistics and Machine Learning

Analytical Skills

Database System Design and Implementation
Data Mining Principles
Machine Learning and Predictive Analytics
Time Series Analysis and Forecasting
Generalized Linear, Mixed Effects, and Nonparametric Regression Models
Advanced Linear Algebra and Matrix Analysis
Credit and Insurance Risk Analytics
Linear and Nonlinear Models for Business Application
Leadership Skills: Teams, Strategies, and Communications
Programming for Analytics
Visual Analytics
Psychometrics
Analysis of Variance
Experimental Design I, II
Categorical Data Analysis
Applied Longitudinal Analysis
Applied Regression Analysis I, II
Survey Research Design and Analysis
Applied Hierarchical Linear Models (HLM) (HLM is equivalent as Multilevel Models analyzing Nested, Clustered Data)
Causal Inference in the Biomedical and Social Sciences (Advanced Propensity Score-Based Approaches, including Marginal Mean Weighting Through Stratification (MMW-S), Inverse-Probability-of-Treatment Weighting (IPTW), and Ratio-of-Mediator-Probability Weighting (RMPW)
Mediation, Moderation, and Spillover Effects in Human Development

Recent Manuscript Published (Open Access):

"Community Coalition Functioning, Collaborative Structure, and Coalitions Models: Enhancing Support for Evidence-Based Practice

Implementation"

Prevention Science, Volume 26, pages 426-437, (2025)

https://link.springer.com/article/10.1007/s11121-025-01800-3

Who We Support

At Chicago Consultancy, we offer support to academic researchers, postdocs, graduate students, and trainees who require expert guidance in their research and data analysis endeavors. Our goal is to empower individuals and teams to excel in their academic and professional pursuits.

Our Approach

We adopt a collaborative and data-driven approach to deliver comprehensive consultancy services. By understanding the specific expectations of our clients, we develop customized strategies and provide hands-on support to ensure the successful execution of research projects and data analysis initiatives.

Benefits of Collaboration

Partnering with Chicago Consultancy offers numerous advantages, including access to specialized expertise, streamlined research processes, enhanced data analysis capabilities, clear and well-defined deliverables, and the opportunity to gain valuable insights for impactful academic and professional outcomes.