Jax Fonseca-Folden
Technical Analyst | eCrimes Defense | Python & SQL for Investigative Insights | UNC Charlotte (Crime Analytics)
- Role
- Technical Analyst (Junior Data Analyst) at Wells Fargo
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Jax Fonseca-Folden
Alumni of the University of North Carolina at Charlotte with a Bachelor of Arts in Criminal Justice, concentrating in Crime Analytics. My academic foundation is strategically complemented by minors in Data Science and Women\'s and Gender Studies, with an overall 3.83/4.0 GPA. My professional background includes four distinct, hands-on experiences, featuring internships and volunteering that provided exposure across investigative processes, correctional data, community policing, and county-level data analysis. I am committed to continuous learning and leveraging advanced programming skills to reinvent approaches to public safety and justice.TECHNICAL SKILLSPython (NumPy, Pandas, Matplotlib)| SQL | PowerBi | ExcelCONFERENCE ENGAGEMENTDemonstrated expertise by presenting original research at the WGS South Conference in student\'s perceptions of changes in policy. I also served as a panelist at the Junior Fencing Olympics, providing insights about UNC Charlotte\'s sports clubs and being an athlete in college. Continuously throughout my college career, I have proactively attended professional development events, including the Carolina\'s Crime Analysis Conference, the Charlotte FrostCon Conference, and the Fluerix Conference.
Experience
Technical Analyst (Junior Data Analyst)
Jan 2026 — Present · Charlotte, NC, US
Employed by Integris Group as a contingent worker supporting the eCrimes Defense team at Wells Fargo- Utilize Dremio to query datasets and develop custom views for cross-functional teams- Leverage python to assist teammates with script development and task automation- Manage investigative workflows and task documentation within Jira
Education
University of North Carolina at Charlotte
Bachelor's degree, Criminal Justice, concentration in Crime Analytics
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