Quality Control Intern

Andrew Sullivan

Email: ****************@*****.*** Phone Number: 603-***-**** Groveland, MA

Professional Summary

Recent Information Science graduate with technical expertise across software development, data analytics, and systems optimization. Delivered solutions that doubled operational capacity and eliminated 3-hour manual processes. Skilled in Python, React, and AWS technologies, as well as experienced in Agile environments. Education

University of North Florida, Jacksonville, FL

Bachelor of Science in Information Science, Minor in Business Management 2021 – 2025

– Awards & Achievements: Dean’s List: Fall 2023, Fall 2024, Spring 2025, Summer 2025

– Activities & Societies: Delta Upsilon Fraternity Member, Intramural Supervisor

– Relevant Coursework: Data Structures, Data Analytics, IT Project Management, Web Systems Dev. Work Experience

Quality Control Intern, Environmental Devices Corp. Sept. 2025 – Current

– Configured and routed bidirectional serial connections to support new air monitoring devices, optimizing data flow and increasing testing capacity by 100%.

– Collected, analyzed, and recorded test data, identifying trends and reporting potential quality issues.

– Monitored equipment calibration and testing conditions applying Six Sigma methodologies to maintain accuracy and reliability of results.

Teaching Assistant, RoboThink First Coast Dec. 2024 – Aug. 2025

– Taught programming fundamentals and robotics concepts to 30+ students aged 8-14 across beginner and advanced courses, developing a strong verbal fluency.

– Supported students in developing problem solving and critical thinking skills via interactive activities, and reviewed student projects, providing structured feedback. University Projects

Deacon Management System Full-Stack Web Application

– Collaborated in a software development team to design, build, and implement a database management system for the Diocese of St. Augustine to maintain records and create reports.

– Developed using React, Node.js, Express.js, and MongoDB, and deployed on Microsoft Azure, digitizing 1000+ deacon records, reducing report generation time up to 80%, and eliminating manual data entry errors. Future Inflation Prediction (Next Year) Predictive Modeling and Data Analytics Program

– Collected, cleaned, and integrated macroeconomic datasets using Python to prepare a unified time-series dataset for inflation prediction.

– Designed and evaluated logistic regression models to forecast next-year inflation categories, achieving 70% accuracy and a 68.1% F1-Score. A 65% improvement over baseline performance, demonstrating potential applications in financial forecasting and economic policy analysis. Skills

Technical: Python, React, Node.js/Express.js, Azure SQL, Power BI, AWS, Jira, Git, Microsoft Office Professional: Data Analytics, Project Management, Agile/SCRUM Methodologies, Root Cause Analysis

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