With over four years of experience as a teacher and instructional specialist, I’ve consistently used data to solve real-world problems—whether optimizing instruction, addressing systemic inequities, or improving student outcomes. My passion for leveraging data to create impact led me to transition into data science, where I’ve deepened my skills in Python, Tableau, and machine learning through Flatiron School’s Data Science Bootcamp.

Since graduating, I’ve applied these skills to meaningful projects, from predicting water well functionality in Tanzania to support public health efforts, to analyzing traffic safety data for Philadelphia’s Vision Zero initiative. Now, as a Data Analyst/Policy Analyst for Cook County through UChicago’s Applied Data Fellowship, I help design analytics solutions that improve the County’s ability to deliver efficient, effective services to its residents.

I’m excited to grow further through volunteer opportunities that allow me to collaborate with mission-driven organizations, sharpen my data science skills, and contribute to projects that advance equity, sustainability, and social good.

Personal information
Full name: Chris Kucewicz
User name: cfkucewicz
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Bachelor's on Mathematics (University of Pittsburgh)
LinkedIn profile
Github profile
Portfolio
Volunteer availability
Start date: April 7, 2025
End date: None
Hours available per week: 5
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
SQL
Data in Relational Databases
Geospatial
Data Visualization
Experience working on real-world problems using data
Data Analysis
Random Forests
Decision Trees
R

Volunteer projects

No volunteer work yet.