What I Solve My Work Experience Education Contact Schedule a Call
Transportation & Supply Chain Optimization

Connor
Godoy

I help distribution and logistics operations reduce transportation cost, improve routing efficiency, and make better network decisions using optimization and scenario modeling.

View Solutions Get In Touch
Connor Godoy
What I Solve

Practical optimization for real logistics decisions

I turn complex supply chain decisions into structured models so leaders can compare options, quantify tradeoffs, and act with confidence.


Every operation has different constraints. I listen first, understand the current process, then build solutions around your service requirements, driver limitations, fleet capacity, delivery windows, and business priorities.

Route Efficiency

Reduce unnecessary miles, improve fleet utilization, and build feasible routes around real-world delivery constraints, vehicle capacity, driver limits, and service requirements.

Delivery Scheduling

Optimize delivery days, time windows, and customer schedules to create routing plans that lower cost while keeping operations stable and service levels intact.

Scenario Modeling

Evaluate operational changes before implementing them. Compare scenarios such as new customers, schedule changes, fleet constraints, facility changes, and delivery window adjustments.

Fleet & Capacity Planning

Estimate how many trucks, drivers, and routes are needed under different demand patterns, delivery schedules, and service requirements.

My Work

Optimization projects built around real operational constraints

Project 01

Delivery Scheduling Optimization

Identified opportunities to reduce transportation miles and route counts by 10% while smoothing warehouse workload and giving decision-makers control over how many changes they were willing to accept.

  • Custom optimization algorithm applied to customer delivery schedules across a distribution network
  • Balanced mile reduction, load efficiency, and schedule stability simultaneously
  • Minimized required schedule changes to support operational continuity
Project 02

Vehicle Routing & Scenario Analysis

Helped stakeholders compare savings opportunities against operational feasibility and service risk before any routing changes were implemented.

  • Formulated and solved large-scale vehicle routing problems for outbound delivery operations
  • Modeled delivery windows, equipment constraints, and customer service requirements
  • Evaluated network-level tradeoffs across multiple routing scenarios
Project 03

Custom Routing Solver & Route Review Tool

Turned raw operational inputs into feasible delivery plans, making it easier to evaluate route quality, identify constraint violations, and review proposed changes before implementation.

  • Capacitated VRP with time windows built in Python using PyVRP
  • Structured Excel input → optimized route plans and stop-level output
  • Interactive browser map for stakeholder route review and validation
Project 04

Facility Sourcing & Network Impact Modeling

Turned a complex sourcing decision into a clear business case, giving stakeholders the quantitative evidence to compare alternatives, understand tradeoffs, and move forward with confidence.

  • Compared current delivery setup against proposed sourcing alternatives
  • Quantified impact on transportation miles, route structure, and facility workload
  • Modeled service feasibility and cost across the broader network
Experience
Jun 2025 — Present
C&S Wholesale Grocers
Transportation Modeling Analyst · Remote
  • Formulate and solve large-scale vehicle routing problems to optimize outbound grocery delivery operations
  • Develop delivery schedule optimization methods that have identified opportunities to reduce outbound truck miles by more than 10% while minimizing network disruption
  • Evaluate what-if scenarios including new customers, constraint changes, delivery schedule adjustments, and network planning assumptions
  • Present quantitative results to stakeholders, translating model outputs into actionable operational recommendations
Jun — Sep 2024
United Parcel Service
Industrial Engineering Intern · Ontario, CA
  • Led process improvement project reducing route stop time and generating $29,872 in annual savings
  • Independently developed a linear programming model for a bin assignment problem, with objective coefficients reflecting employee productivity and travel time
  • Wrote SQL queries to extract and validate operational data for ROI analysis
  • Built Power BI dashboards tracking KPIs for package sorting performance
Education
Incoming · Fall 2026
Georgia Institute of Technology
M.S. Operations Research · H. Milton Stewart School of Industrial and Systems Engineering
  • Nationally ranked #1 operations research program
  • Graduate coursework focused on mathematical optimization, analytics, stochastic modeling, and quantitative methods for supply chain decision-making
Graduated Jun 2025
University of California, Riverside
B.S. Business Administration · Operations & Supply Chain Management · Minor in Mathematics

GPA 3.77 · Graduated With Honors

  • Coursework: Optimization, Linear Programming, Machine Learning, Numerical Analysis, Simulation, Applied Linear Algebra
Contact Me

Let's discuss where optimization can create value in your operation.

If your team is dealing with routing inefficiency, rising transportation costs, delivery scheduling complexity, or difficult network tradeoffs, I would be glad to discuss whether optimization and scenario modeling can help.

Schedule a Call LinkedIn Download Resume