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Yuriy Davydenko

Research and Data Scientist,
Ph.D. Candidate of Public Policy

I am a doctoral candidate in Andrew Young School of Policy Studies at Georgia State University, with concentrations in Policy Design, Analysis, Evaluation, and Public and Nonprofit Management and a research assistant at the Center of Professional Excellence. I conduct research aimed at understanding how various policies, programs, tools, and institutions affect individual and organizational performance and outcomes. I teach undergraduate courses in the key functional areas of public management and policy and provide technical assistance with applied research projects. As an applied researcher, I have worked on a range of research and technical assistance projects with state and local public agencies. I have been involved in research design, data collection, data analysis, and customer report development.

Throughout my career, I have developed a broad set of technical skills and expertise necessary at all stages of research project planning and execution, from formulating research questions to collecting, analyzing, and sharing results. Particularly, I can develop both observational and experimental research designs, build complex survey instruments for online data collection, and use tools for quick and efficient automated processing of large volumes of paper surveys with optic scan technology. In addition to that, I have experience creating tools for automated data extraction, such as web crawling and scraping, to efficiently obtain large samples of data from the web.

Having a passion for data science and analytics, I am proficient in statistical data analysis, data programming, data visualization, and product development using R software ecosystem. These skills allow me to develop complex and reproducible data analyses, dynamic and professionally looking reports in a wide range of outputs and formats, interactive documents, dashboards, and presentations. As a data enthusiast, I enjoy teaching courses in statistical data analysis, constantly learn new skills and methods, and always look forward to new professional challenges.

Interests

  • Policy Design, Analysis, Evaluation
  • Public and Nonprofit Management
  • Performance Measurement
  • Civic Technology and Choice Architecture
  • Data Analysis and Visualization
  • Quantitative and Experimental Research Methods

Education

  • Ph.D. in Policy Analysis, in progress

    Georgia State University

  • Master of Public Administration, 2010

    Georgia State University

  • Specialist in Management and Economics, 2006

    Kyiv National Economic University

  • Specialist of Electronic Engineering, 2000

    Kyiv Polytechnic Institute

Skills

R

data analysis | advanced programming | markdown

Statistics

descriptive | inferential | predictive

Data Visualization

base R | ggplot | shiny | plotly | leaflet

Research

academic | applied

Survey Instruments

qualtrics | paper with optic technology

Evaluation

performance measurement

Experience

 
 
 
 
 

Graduate Research Assistant

Center of Professional Excellence, Andrew Young School of Policy Studies, Georgia State University

Sep 2019 – Present Georgia
  • Designing and maintaining online evaluation surveys and dynamic reports.
 
 
 
 
 

Graduate Research Assistant / Research Associate

public Performance and Management Group, Andrew Young School of Policy Studies, Georgia State University

Sep 2009 – May 2017 Georgia
Provided ongoing support for the Center’s applied research, program evaluation, and performance improvement projects in the public sector organizations:

  • Survey instrument design
  • Data collection
  • Data analysis
  • Report development

Certifications

Data Science – Ten-Course Specialization from John Hopkins University

Learned how to use R to clean, analyze, and visualize data, navigate the entire data science pipeline from data acquisition to publication, use GitHub to manage data science projects, perform regression analysis, least squares and inference using regression models.(completed 9 out of 10 courses, including: The Data Scientist’s Toolbox; R Programming; Getting and Cleaning Data; Exploratory Data Analysis; Reproducible Research; Statistical Inference; Regression Models; Practical Machine Learning; Developing Data Products.)
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Statistics with R – Five-Course Specialization from Duke University

Learned to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. Produced a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.
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Mastering Software Development with R - Five-Course Specialization from John Hopkins University

Rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. Learned modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
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Teaching

Policy Data Analysis

This course focuses on quantitative research methods applicable to the study of public policy.

Intro to Policy Analysis

This is an introductory course covering basic concepts and principles of policy analysis.

Governmental Budgeting

The course examines political, technical, and managerial aspects of resource allocation in American public sector.

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