Computer Science undergraduate with experience managing cross-functional projects, leveraging programming and data analysis to improve workflows, and presenting insights to executive leadership. Interested in technical operations, project prioritization, and process automation.
Overview
3
3
years of professional experience
Work History
IT Intern
SDI Presence
Chicago
09.2025 - 12.2025
Supported a large-scale technology deployment project for the Chicago Department of Finance, ensuring systems were configured to organizational and security standards.
Installed and configured hardware, operating systems, and required software to support end-user readiness and operational continuity.
Followed standardized deployment checklists and documentation to ensure consistency, accuracy, and compliance across devices.
Collaborated with project leads and client stakeholders to meet deployment timelines and resolve setup issues efficiently.
Contributed to process reliability in a regulated, public-sector environment requiring attention to detail and adherence to procedures.
Project Management Intern
Adam Information Technologies
Madison
01.2023 - 08.2024
Supported end-to-end project execution across multiple concurrent initiatives, coordinating timelines, deliverables, and stakeholder expectations.
Collected and analyzed operational data to support project prioritization and strategic decision-making.
Prepared structured reports and visual summaries for leadership, communicating project status, risks, and resource needs.
Used JIRA to track tasks, manage workflows, and improve visibility into progress and dependencies.
Collaborated cross-functionally with technical and non-technical teams to ensure alignment and on-time delivery.
Presented project updates and findings to executive leadership, translating technical details into clear business impact.
Data Mining & Analytics Project at Loyola University Chicago
- Led an end-to-end data mining project analyzing a large real-world dataset (~50MB), from problem definition and data preparation to final analysis and reporting.
- Designed and followed a structured project workflow to manage phases, milestones, and deliverables, ensuring timely completion.
- Used Python and data analysis techniques to clean, transform, and analyze complex datasets, identifying key trends and patterns.
- Presented findings to department leadership, translating technical analysis into clear, actionable insights.