Scott J Miller

About Me

Data Science | AI/ML

Applied AI and Data Science student with a solid background in industrial operations leadership, process optimization, and electro-mechanical systems. Skilled in developing data pipelines, predictive models, and technical solutions to analyze complex workflows. A detail-oriented, adaptable problem solver and clear communicator with a track record of cross-functional collaboration and continuous improvement.

Core Competencies

  • Data and Technical — Python, R, Data Visualization, Statistical Analysis, Machine Learning, ETL Pipelines
  • Systems and Operations — Root Cause Analysis (RCA), Process Optimization, Quality Assurance, Preventive Maintenance
  • Leadership and Delivery — Cross-Functional Leadership, Project Planning, Technical Mentorship, Continuous Improvement

Current Focus

Completing my Bachelor’s in Applied Computing w/ AI Emphasis (Anticipated December 2026) — 3.8 GPA

Maintenance Technician — Wal-Mart Fulfillment Center 2017 – 2026 • Davenport, FL

  • System Reliability and Uptime — Executed preventive and emergency maintenance on automated conveyors, box formers, high-speed sorters, and inline metrology systems to maximize operational throughput. Operational Troubleshooting — Performed electromechanical fault isolation and root cause repairs on packaging and sorting machinery to minimize unplanned downtime. Cross-Functional Workflow Coordination — Collaborated with stakeholders to execute repairs and scheduled maintenance around active production windows without disrupting fulfillment targets. Preventive Maintenance and Data Integrity — Accurately entered maintenance logs and spare-parts usage within the CMMS to support predictive upkeep and long-term asset reliability.

Production Supervisor​ — MetalTek International 2014 – 2017 • Lakeland, FL

Operational Leadership and Execution — Directed cross-functional production teams to deliver multi-million-dollar precision components for aerospace, nuclear, and energy clients (NASA, Westinghouse, Siemens), managing workflow constraints to consistently meet delivery milestones. Quality Assurance and Compliance Modeling — Enforced stringent compliance with mission-critical industry standards (NQA-1, ASME, AWS), establishing rigorous data logging, traceability protocols, and tolerance thresholds. Cross-Functional System Orchestration — Aligned competing priorities across Machining, PreFab, Quality Control, EHS, Purchasing, and Project Management to consistently meet Director of Operations milestones. Root Cause Analysis and Continuous Improvement — Spearheaded RCAs within the Corrective Action Program (CAP), utilizing systematic failure mode tracking and qualitative data to identify operational bottlenecks and eliminate recurring defect patterns. Safety Culture — Led the facility Safety Committee, championing shop-floor safety initiatives, reducing risk incidents, and organizing celebrations for important safety milestones. Commercial Support and Estimation — Developed technical cost, material, and labor estimation models for large-scale bids, translating complex engineering schematics into quantified budget and capacity projections. Mentorship and Team Performance — Coached foremen, lead personnel, and production staff, applying structured performance feedback to elevate team output quality and morale.

Education & Certifications

Bachelor of Applied Science in Computing, AI Emphasis — 3.8 GPA University of Arizona • Anticipated 2026

Undergraduate Certificate in Data Science and Visualization University of Arizona • May 2026

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