Currently an Extern @Center for Improving Youth JusticeLearning data analytics through a Center for Improving Youth Justice externship, applying analysis to youth justice questions as I build practical skills.
Portfolio pieces show work completed during my Center for Improving Youth Justice externship: data cleaning, analysis, and visualizations focused on youth justice topics.
Center for Improving Youth Justice · ✅ Verified by Extern · ⏱️ In progress
A data analytics externship with the Center for Improving Youth Justice, focused on analyzing juvenile-facility records and surveys to identify patterns in incidents, demographics, and outcomes.
Learning data analytics through a Center for Improving Youth Justice externship, applying analysis to youth justice questions as I build practical skills.
I am Racheal Akinkugbe. I am starting my career and exploring data analytics through an externship with the Center for Improving Youth Justice. I focus on learning data analysis methods and applying them to youth justice topics as I build practical experience.
Externships
Data Analytics Externship with Center for Improving Youth Justice
Center for Improving Youth Justice
Experience
EY Technology Risk Virtual Job Simulation on Forage
Forage · July 2026
Group Project Manager
University of Essex · October 2024 – May 2025
Resident Assistant
University of Essex · September 2022 - June 2024
Contact Tracer
CPL · November 2020 – June 2021
Operations Analyst
Optimum Dynamic Care · July 2025 — Till Present
Education
University of Essex
BA (Hons) Sociology and Politics with Applied Quantitative Methods · Class of 2025
Skills
✅ Verified by Extern · ⏱️ In progress
A data analytics externship with the Center for Improving Youth Justice, focused on analyzing juvenile-facility records and surveys to identify patterns in incidents, demographics, and outcomes.
The externship worked with CIYJ's multi-decade dataset containing incident reports, surveys, demographic records, and outcome measures. The project framed what correlational analysis can reveal, mapped common data limitations, and established analytical boundaries for revisiting assumptions in juvenile justice data. The work summarized practical approaches for extracting reliable signals from
I established the analytic framing and clarified what correlational methods could and could not show, documenting common data gaps and the responsibilities of an analyst working with CIYJ's records.