Supply Chain Engineering Co Op Resume Daisy Ware Supply Chain Engineering Co Op (978) 555-2634 daisy.ware@example.com linkedin.com/example/daisyware Lowell, MA 01852 STRENGTHS Process Analysis Turned cycle time and quality observations into clear findings. A structured dataset made variation easier for teammates to discuss. Quality Documentation Wrote study sections and work instructions with traceable evidence. Reviewers could follow methods, checks, and decisions without guesswork. Practical Improvement Compared process changes through repeated simulations. The final recommendation protected quality checks while supporting smoother production flow. Team Communication Presented technical results to a class audience and answered detailed questions. Clear explanations helped connect analysis with operational choices. Learning Agility Moved from classroom models into research work with unfamiliar measures. Frequent peer questions became useful prompts for stronger records. SKILLS Supply Chain Process Analysis Statistical Process Control GMP Concepts Medical Devices Validation Protocols Engineering Studies Work Instructions Continuous Improvement Business Continuity Cost Improvement NPI Concepts Project Management Power BI Python LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 11 Months Industrial Engineering Manufacturing Project Student at University Project (4 Months) Manufacturing Quality Research Assistant at University Research Lab (3 Months) Supply Chain Process Improvement Project Student at Capstone Project (4 Months) SUMMARY Industrial Engineering student with supervised experience analyzing manufacturing process data , studying variation, and recommending practical improvements for simulated medical device production. Academic projects applied statistical process control , Excel, Python, Power BI, process mapping, inventory modeling, and structured engineering documentation. Work included 1,200 cycle time and quality observations, 300 measured components, revised work instructions, mock validation protocols, and production continuity analysis. Research and project teams used clear records, defined acceptance criteria, and traceable evidence when evaluating process changes. Coursework introduced GMP concepts, FDA regulated manufacturing, NPI planning, cost improvement, continuous improvement , project management, and business continuity . Comfortable with Word, Excel, PowerPoint, and Outlook for technical studies, presentations, schedules, and communication. Permanently authorized to work in the United States without sponsorship and prepared for full time onsite engineering work. EDUCATION Bachelor's Degree in Industrial Engineering University of Massachusetts Lowell GPA: 3.6 2026 Lowell, MA Coursework: Statistical Process Control, Manufacturing Systems, Supply Chain Engineering, Project Management TECHNICAL SKILLS Microsoft Office: Word, Excel, PowerPoint, Outlook Data Analysis: Python, Excel, Power BI Quality Methods: SPC, process capability, control charts Manufacturing Systems: process mapping, value streams, work in process Validation Documentation: validation protocols, acceptance criteria, engineering studies Regulated Manufacturing: GMP, FDA quality systems, medical devices Process Improvement: Six Sigma, continuous improvement, cost improvement Supply Chain Planning: inventory modeling, capacity analysis, material flow Project Management: milestones, risk registers, action owners Technical Communication: work instructions, technical reports, presentations Production Quality: defect analysis, traceability, inspection points Manufacturing Analysis: cycle time, process variation, capability indicators SKILLS Supply Chain Process Analysis Statistical Process Control GMP Concepts Medical Devices Validation Protocols Engineering Studies Work Instructions Continuous Improvement Business Continuity Cost Improvement NPI Concepts Project Management Power BI Python EXPERIENCE Industrial Engineering Manufacturing Project Student University Project January 2026 - May 2026 Lowell, MA Supported a five student manufacturing analysis project focused on process stability, quality evidence, work instructions , and flow improvement within a simulated medical device assembly operation. Analyzed 1,200 cycle time observations with Excel and Python , creating a reproducible process analysis dataset. Applied statistical process control charts to separate common cause variation from assignable production events. Built Power BI dashboard tracking throughput, defects, work in process, and stability across four assembly steps. Revised constrained assembly work instruction with sequence details, inspection points, and traceable data requirements. Compared process change concepts through repeated simulations, recommending improved flow with preserved quality checks. Presented validation evidence and operational findings to 24 classmates, answering questions about feasibility and variation. Manufacturing Quality Research Assistant University Research Lab September 2025 - December 2025 Lowell, MA Contributed under faculty supervision to manufacturing quality research involving measurement variation, process capability, controlled records, and introductory regulated production practices. Recorded measurements for 300 manufacturing samples, maintaining organized evidence for supervised process capability research. Created Excel data capture templates with validation controls, improving consistency across student laboratory records. Used Python to evaluate distributions, control limits, and capability indicators against manual calculations. Drafted engineering study sections covering test methods, sampling, equipment setup, and results for faculty review. Applied GMP and FDA quality system concepts to a case exercise involving traceability and document control. Presented research findings at an undergraduate showcase, explaining methods and results to faculty reviewers. Supply Chain Process Improvement Project Student Capstone Project January 2025 - May 2025 Lowell, MA Modeled a classroom manufacturing value stream covering materials, staging, assembly, inspection, release, inventory, capacity, continuity, and cost improvement decisions. Mapped material and information flow from incoming components through simulated finished goods release activities. Built Excel inventory and capacity model for 18 component types, identifying production continuity constraints. Organized project milestones, risks, owners, and review dates using foundational project management methods. Drafted mock validation protocol for workstation change with acceptance criteria and required evidence. Evaluated cost improvement options alongside quality and continuity needs, reducing unnecessary simulated material handling. Delivered technical report and PowerPoint briefing connecting observations, controls, recommendations, and implementation steps. PROJECTS Medical Device Validation Planning Study 2026 Prepared a simulated validation plan for a workstation change, defining objectives, evidence, acceptance criteria, documentation, and release considerations within a regulated manufacturing scenario. Manufacturing Capacity and Continuity Model 2025 Created an Excel model covering component inventory, demand scenarios, capacity constraints, and production continuity risks across a classroom supply chain value stream. LEADERSHIP & AWARDS Dean's List, 2025 Undergraduate Research Showcase Recognition, 2026 Engineering Academic Achievement Scholarship, 2026 CERTIFICATIONS Microsoft Learn, Analyze Data with Power BI 2026 Coursera, Six Sigma Principles 2026 PROFESSIONAL AFFILIATIONS Institute of Industrial and Systems Engineers Student Chapter, Project Team Member, 2025 - Present Engineering Peer Study Group, Volunteer Facilitator, 2026 - Present LANGUAGES English (Native) Spanish (Intermediate) 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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