Data professional with expertise in Python, R, SQL, and Tableau, experienced in statistical analysis, geospatial work, and data storytelling. Former educator with a strong foundation in math and public-sector work.
Chicago, IL | Open to data analyst, research analyst, data visualization, and consulting roles
See my full portfolio at ckucewicz.github.io
| Project | Description | Tools |
|---|---|---|
| CTA Transit Ridership Analysis | Cleaned and analyzed 1.25M+ records; built forecasting models projecting post-COVID ridership recovery to ~85–90% of pre-pandemic highs | SQL, Python, Plotly, Folium |
| Illinois Community Revitalization | Composite need score ranking all 102 IL counties on 5 ACS indicators to guide targeted revitalization investment | R, tidycensus, ggplot2, GIS |
| NYC Trees & Wealth Dashboard | Geospatial analysis of income and tree census data across NYC's five boroughs, 680k+ trees visualized | Tableau, GIS, data storytelling |
| Chicago Bike Lane & Housing Analysis | Spatial and statistical analysis exploring the relationship between bike infrastructure investment and housing trends across Chicago neighborhoods | R, GeoPandas, regression, GIS |
| Tanzania Water Well Classification | Predicted water well functionality across ~60k entries; achieved 78% recall with a tuned Random Forest model | Python, scikit-learn, GeoPandas, ML |
| Crime Rate Regression Analysis | Analyzed ~20 years of Chicago budget and crime data to evaluate how public spending relates to crime rates over time | R, regression, inference |
- Program Analyst, Michael's Energy (Energy Analytics Consulting)
2025–present - Project Manager & Data/Policy Analyst, Cook County Office of Research, Operations & Innovation
2024–2025 - Community Engagement Ambassador, City of Philadelphia
2024 - Lead STEM Instructor & Data Reporting Specialist, TEACH, LLC
2023–2024
- Languages: Python (Pandas, NumPy, scikit-learn, Plotly), R (ggplot2, tidyverse, tidycensus), SQL
- Visualization: Tableau, Power BI, Matplotlib, Seaborn, InDesign
- Geospatial: GeoPandas, Folium, ArcGIS Online, spatial clustering, drive-time analysis
- Methods: Regression, classification, forecasting, survey design, program evaluation, ETL
- Data Science Bootcamp, Flatiron School
2024 - M.S. Education, University of Pennsylvania
2020 - B.S. Mathematics (Magna Cum Laude), University of Pittsburgh
2018