Center for Improving Youth Justice Externship via Extern
Completed a Beats by Dre externship in consumer behavior and market analysis to gain practical research experience and boost my resume.
Portfolio entries show research, analysis, and deliverables completed during the Beats by Dre externship, highlighting methods and findings I can present to potential employers.
Center for Improving Youth Justice · ✅ Verified by Extern · ⏱️ In progress
A data-driven externship with the Center for Improving Youth Justice, focused on analyzing two decades of juvenile facility data to identify patterns in incidents, demographics, and outcomes.
Completed a Beats by Dre externship in consumer behavior and market analysis to gain practical research experience and boost my resume.
I am Naol Jima, a recent bachelors graduate beginning my career. I have completed the Beats by Dre Consumer Behavior & Market Analysis externship to strengthen my resume and build practical market research skills as I prepare for jobs and internships.
Externships
Data-Driven Decision Making Externship with CIYJ
In progress
Experience
Analyst
Consulting Group · May 2024 - May 2025
Financial & Strategy Lead
NAACP, Virginia Tech Chapter · May 2024 - May 2025
Business Analyst
Takeoff Institute · Jun 2024 - Aug 2024
Data & Strategy Analyst Extern
PwC · Jun 2023 - Aug 2023
Education
Virginia Tech
B.A, Economics · Class of 2025
Skills
✅ Verified by Extern · ⏱️ In progress
A data-driven externship with the Center for Improving Youth Justice, focused on analyzing two decades of juvenile facility data to identify patterns in incidents, demographics, and outcomes.
The work analyzed CIYJ's multi-source dataset spanning youth and staff surveys, incident reports, and demographic records. Tasks focused on defining analytic scope, evaluating why data remain unused, and mapping what correlational methods can validly reveal. The work summarized conceptual tradeoffs and methodological limits for applied analysis.
I framed the analytic approach and limits before any coding or modelling, laying out what correlational analysis can reveal and where it cannot, and documenting common reasons datasets go unused.
