Systems Automation Co op Resume Nicholas Rojas Systems Automation Co op (732) 555-2638 nicholas.rojas@example.com linkedin.com/example/nicholasrojas New Brunswick, NJ 08901 STRENGTHS Structured testing Built test procedures, recorded deviations, and reviewed corrective actions before presenting a control prototype. Data reasoning Used Python, SQL, Excel, and Power BI to turn simulated equipment records into useful operating insight. Technical writing Created control narratives, I O records, configuration notes, and clear presentations for faculty project reviews. Practical troubleshooting Followed alarms, tags, network settings, and expected behavior until simulated control issues became clear. Team contribution Coordinated student automation work and tutored peers, building trust through patient explanations and dependable follow through. SKILLS Analytical thinking Problem solving Technical writing Verbal communication Cross functional teamwork Independent work Organization Automation Controls Robotics Instrumentation Process engineering Programming concepts Data analytics Project management LANGUAGES English Native 40 Spanish Proficient 30 MY CAREER 1.2 Years Automation and Process Control Project Engineer at Capstone Project (8 Months) Industrial Automation Lab Researcher at Student Lab (3 Months) Industrial Data Analytics Assistant at University Research Lab (4 Months) SUMMARY Electrical Engineering student completing a Bachelor of Science at Rutgers University, with hands on academic work in manufacturing automation , process controls, operational technology, industrial data, and digital manufacturing . Built supervised prototypes using instrumentation, controller logic, PLC concepts, SCADA interfaces, HMIs, Python, SQL, Power BI, and Microsoft 365. Created control narratives, I O records, configuration documentation , test procedures, risk reviews, and operating guidance for laboratory projects. Analyzed historian style time series, investigated simulated control issues, verified data exchanges, and presented findings to faculty and project stakeholders. Coursework and projects developed practical familiarity with equipment integration, industrial networking, commissioning, validation, GMP fundamentals, OT IT connectivity , and structured change practices. Ready to contribute careful analysis, clear documentation, and collaborative problem solving within a regulated manufacturing environment. EDUCATION Bachelor's Degree in Electrical Engineering Rutgers University GPA: 3.5 2026 New Brunswick, NJ Coursework: Automation, Process Controls, Industrial Networking, Data Analytics, Instrumentation TECHNICAL SKILLS Automation Systems: Delta V, PLCs, SCADA, HMIs Process Control: Controller logic, instrumentation, control behavior Industrial Data: OSI Pi, historian data, time series Data Analytics: Python, SQL, Power BI Microsoft 365: Excel, Word, PowerPoint, Teams, Outlook Industrial Networking: OT networks, data exchange, network settings Equipment Integration: Automation design reviews, technical assessments, I O records Testing and Commissioning: Test protocols, functional testing, commissioning checks Validation and Quality: Qualification, validation, GMP requirements Risk and Change: Risk assessments, change controls, corrective actions Digital Manufacturing: Industry 4.0, connected production, digital transformation Documentation: Operating procedures, configuration records, status updates SKILLS Analytical thinking Problem solving Technical writing Verbal communication Cross functional teamwork Independent work Organization Automation Controls Robotics Instrumentation Process engineering Programming concepts Data analytics Project management EXPERIENCE Automation and Process Control Project Engineer Capstone Project January 2026 - September 2026 New Brunswick, NJ Led a supervised capstone focused on bench scale process control, instrumentation, controller logic, HMI behavior, structured testing, risk review, and technical presentation. Maintained project records while connecting control decisions with reliable operation and clear stakeholder review. Designed a bench scale control prototype using instrumentation and HMI logic for flow regulation. Created control narratives, I O records, configuration documents, and test procedures for implementation review. Executed commissioning checks and functional tests, recording deviations and corrective actions before demonstration. Analyzed time series process data with Python and Excel , supporting documented tuning recommendations. Reviewed sensor, communication, and control failure modes, adding safeguards and recovery steps to procedures. Presented architecture, test results, limitations, and integration recommendations to faculty reviewers. Industrial Automation Lab Researcher Student Lab September 2025 - December 2025 New Brunswick, NJ Supported supervised laboratory exercises involving PLC logic, HMI configuration, SCADA style monitoring , industrial networking , equipment states, and controlled configuration changes. Practiced disciplined troubleshooting and technical reporting for simulated manufacturing operations. Configured PLC and HMI exercises, translating equipment sequences into testable control logic under supervision. Monitored simulated process conditions through SCADA interfaces, using alarm histories to isolate issues. Documented controller tags, network settings, equipment states, and troubleshooting observations in lab records. Connected training devices on an isolated industrial network and verified control data exchange. Executed verification steps after configuration changes, comparing actual behavior with expected results. Delivered Word and PowerPoint summaries covering defects, corrective steps, and reliable automation operations. Industrial Data Analytics Assistant University Research Lab January 2025 - May 2025 New Brunswick, NJ Supported a faculty led digital manufacturing study through SQL data preparation, Python validation, Power BI reporting, historian style analysis, and OT to analytics flow documentation. Connected data quality work with maintenance awareness and operational visibility. Built a SQL dataset from simulated equipment records for production state analysis. Developed Power BI dashboards showing equipment status, cycle information, and selected process indicators. Wrote Python scripts to clean and validate historian style time series data. Compared dashboard results with source records, documenting data quality exceptions for review. Mapped an OT to analytics data flow, documenting interfaces, refresh steps, and assumptions. Presented findings linking operational visibility with maintenance awareness and Industry 4.0 experimentation. PROJECTS Digital Manufacturing Visibility Study 2025 Created a supervised analytics study using SQL, Python, Power BI, and historian style records. The work connected equipment status data with reporting, data quality review, and practical manufacturing visibility. Bench Scale Process Control Prototype 2026 Developed a supervised control prototype with instrumentation, controller logic, HMI behavior, test procedures, and risk review. Results supported commissioning practice, documented tuning, and clear technical presentation. LEADERSHIP & AWARDS Dean's List, Rutgers University, 2025 Engineering Capstone Showcase Recognition, Rutgers University, 2026 Project Coordinator, Student Automation Study Group, 2025 to 2026 CERTIFICATIONS Microsoft Learn Power BI Learning Path 2026 Coursera Industrial IoT on Google Cloud 2026 PROFESSIONAL AFFILIATIONS Student Automation Study Group, Project Coordinator, 2025 to 2026 Peer Tutor, Introductory Circuits and Programming, 2025 to 2026 LANGUAGES English (Native) Spanish (Proficient) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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