Industrial Process Improvement & Analytics Intern

DANIEL ALVARADO

Tampa, FL 656-***-**** ************@*****.*** www.linkedin.com/in/danielalvaradoa SUMMARY

Industrial Engineer with experience improving operational processes, delivering measurable results including reducing paper- based documentation by over 60% and recovering 16 labor hours per month through process mapping and digital workflow adoption. Strong background in data analytics and proficient in Power BI, Minitab, Excel, and AutoCAD. EXPERIENCE

Process Improvement Intern, Consulting at Equinorte, Colombia Dec 2024 – Apr 2025

• Led process mapping across 10 departments by consulting with department leaders and documenting AS-IS workflows in Microsoft Visio to identify bottlenecks, process standardization opportunities, and workflow improvements.

• Identified through workflow analysis and root cause analysis that SAP ERP implementation challenges caused reliance on printed forms, reducing paper-based documentation by over 60% through digital workflow adoption.

• Proposed digital HR platform that eliminated manual labor-hour documentation, reducing administrative workload by 16 hours per month while improving data accessibility and process efficiency.

• Presented process improvement recommendations to Vice President and department managers, and supported development of KPI frameworks that improved performance visibility and data-driven decision making. Business Operations Intern, Nanapps, Colombia Jan 2023 – Apr 2024

• Led a 7-person team for two months during CEO’s medical leave, coordinating daily operations across multiple projects to ensure uninterrupted business continuity.

• Evaluated project development initiatives using projected revenue, project duration, operating costs, and implementation effort to prioritize projects and optimize resource allocation.

• Collaborated with team members to improve product usability through quality assurance testing and client feedback. SKILLS

Software: Power BI, Minitab, SAP, AutoCAD, Excel Macros/VBA, Visio, SolidWorks, Microsoft Project, Word, PowerPoint Programming: SQL, Python, R

Technical: Time Studies, Continuous Improvement, KPIs, SOPs, Project Management, Root Cause Analysis, 5S, DMAIC Languages: Spanish (Native), French (DELF B1)

PROJECTS

Logistics Route Optimization using Design of Experiments, USF Aug 2025 – Dec 2025

• Designed and executed a two-factor factorial ANOVA experiment with blocking to test the effects of departure time and payload volume on delivery delays across 72 routes, applying hypothesis testing and statistical analysis.

• Converted statistical findings into operational recommendations, redistributing stop counts, splitting high-density routes, and optimizing stop sequencing to improve delivery schedule reliability. Data Analytics Manufacturing Defects Detection, USF Jan 2026 – May 2026

• Developed a machine learning model in Python to detect rare manufacturing defects in a 230,000-observation dataset, applying XGBoost with class weighting to achieve a 90% accuracy, minimizing defect escapes while keeping false positives at 0.435 per 10,000 units to reduce unnecessary inspections. Senior Design Project, USF Aug 2025 – May 2026

• Designed a manufacturing facility layout in AutoCAD using Systematic Layout Planning and Capacity Planning to optimize material flow and production efficiency.

• Built financial models with cash flow projections, break-even analysis, and ROI to evaluate project viability.

• Collaborated with student startup team to design and prototype a physical cellphone screen protection product, conducting 100+ customer surveys and 80 interviews to validate market demand. EDUCATION

Bachelor of Science in Industrial Engineering May 2026 University of South Florida (USF), Tampa, FL

Relevant coursework: Data Analytics, DOE, Operations Research, Work Study, Production Planning, Manufacturing Processes

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