Optimization Model for Meal Kit Delivery Selection – ISE 441 (Operations Research & Optimization)
• Designed and implemented a goal programming optimization model in Python (PuLP) to select an optimal meal kit delivery service based on cost, calorie, and protein constraints.
• Built a large-scale model with over 100 decision variables and 500+ constraints, incorporating daily and total nutritional requirements across a 21-day planning horizon.
• Conducted sensitivity analysis to evaluate how budget changes impacted the optimal service selection.
• Project Code: https://colab.research.google.com/drive/14ej1Wpe8ZgmMHHZZa4mm36NkOrl8sTSH
Time Study & Productivity Improvement – ISE 201 (Work Design Systems)
• Conducted comprehensive time studies to analyze task efficiency and identify productivity bottlenecks.
• Applied statistical analysis and time-measurement techniques to recommend cycle time improvements.
• Created workflow and process diagrams using Microsoft Visio to communicate recommendations.
IISE National Student Video Competition – ISE 201
• Collaborated with a team to produce an educational video explaining the role of industrial engineers in modern industries.
• Earned 3rd Place nationally in the Institute of Industrial and Systems Engineers (IISE) competition.