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I'm Cezary, a data science and economics professional with 10+ years of experience transforming complex datasets into actionable insights for research and decision-making. I specialize in statistical modeling, causal inference, forecasting, prediction, and data wrangling, using SQL, Python, R, and SAS to produce meaningful results for health and policy applications. I enjoy collaborating across disciplines, building scalable data solutions on platforms like Databricks and AWS, and sharing findings through clear visualizations and dashboards. In my spare time I enjoy ballroom dancing, chess, and travel.…I'm Cezary, a data science and economics professional with 10+ years of experience transforming complex datasets into actionable insights for research and decision-making. I specialize in statistical modeling, causal inference, forecasting, prediction, and data wrangling, using SQL, Python, R, and SAS to produce meaningful results for health and policy applications. I enjoy collaborating across disciplines, building scalable data solutions on platforms like Databricks and AWS, and sharing findings through clear visualizations and dashboards. In my spare time I enjoy ballroom dancing, chess, and travel.

Cezary T. Gwarnicki

Data Scientist, Data Analyst, Programmer, +2

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I'm Cezary, a data science and economics professional with 10+ years of experience transforming complex datasets into actionable insights for research and decision-making. I specialize in statistical modeling, causal inference, forecasting, prediction, and data wrangling, using SQL, Python, R, and SAS to produce meaningful results for health and policy applications. I enjoy collaborating across disciplines, building scalable data solutions on platforms like Databricks and AWS, and sharing findings through clear visualizations and dashboards. In my spare time I enjoy ballroom dancing, chess, and travel.…I'm Cezary, a data science and economics professional with 10+ years of experience transforming complex datasets into actionable insights for research and decision-making. I specialize in statistical modeling, causal inference, forecasting, prediction, and data wrangling, using SQL, Python, R, and SAS to produce meaningful results for health and policy applications. I enjoy collaborating across disciplines, building scalable data solutions on platforms like Databricks and AWS, and sharing findings through clear visualizations and dashboards. In my spare time I enjoy ballroom dancing, chess, and travel.

Available to hire

I’m Cezary, a data science and economics professional with 10+ years of experience transforming complex datasets into actionable insights for research and decision-making. I specialize in statistical modeling, causal inference, forecasting, prediction, and data wrangling, using SQL, Python, R, and SAS to produce meaningful results for health and policy applications.

I enjoy collaborating across disciplines, building scalable data solutions on platforms like Databricks and AWS, and sharing findings through clear visualizations and dashboards. In my spare time I enjoy ballroom dancing, chess, and travel.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Polish

Fluent

Work Experience

Data Scientist / Biostatistician at Telligen

October 1, 2020 - May 1, 2025

Led evaluation framework of health quality improvement interventions for contract delivery; produced ROI reports with methodology and econometric modeling, uncovering over $10M in cost savings and thousands of lives saved. Applied propensity score matching with difference-in-differences to estimate average treatment effects. Processed CMS claims, surveys, and clinical data into population health insights; built data pipelines and documented outputs. Created dashboards in AWS QuickSight for monitoring and governance.

Data Analyst Programmer and Freelance at Chicago Association for Research and Education in Science

September 1, 2017 - September 1, 2020

Collaborated on multidisciplinary research projects; constructed variables by transforming, cleaning, de-duplicating, and classifying raw numeric, string, and date formats on hospital lab data with 300 million observations. Merged multiple data sources in SAS and Stata with SQL for longitudinal analysis; addressed missing values, outliers, and trend inconsistencies. Applied random forest ML model between patient ICD-10 codes and disability status; synthesized results for presentations and discussions. Consulted on quasi-experimental techniques including fixed effects regression, difference-in-difference, Oaxaca-Blinder decomposition, and propensity score matching.

Research Assistant at Institute for Health Research and Policy, UIC

October 1, 2009 - December 1, 2016

Managed projects, trained personnel, conducted literature reviews, built presentations, wrote publications, model consultation, and policy analysis. Analyzed datasets on tobacco taxation, elasticity of demand in tobacco products, and smoke-free air laws with variable construction, data cleaning, merging, classifying and formatting in Stata and Excel.