Ved Patel Email & Phone Number

Houston, Texas, United States

United States

• Worked as a Data Scientist in the Professional Services team of Coupa Supply Chain Design & Planning (ex LLamasoft). Responsibilites included analyzing supply chain data, building models for various network design.
• Designed an app where supply chain modeler & supply chain planners of various business units can collaborate to review model's output, run alternate scenarios, and take actions on safety stock decisions
• Created visualizations that improved the interpretability of model outputs, supporting supply chain planners in their decision makingTechnology: Multi-Echelon Inventory OptimizationWorking with Food & Beverage Company:
• Built ETL transformations in an agile environment for a production capacity planning model to evaluate scenarios like new product addition, variable resources, and safety stock requirements
• Modeled various business rules, cost functions, and network characteristics effectively & efficiently in Supply Chain Guru
• Coached the customer network design team in successful adoption of the solution with on-site trainingsTechnology: Network OptimizationWorking with Bottling Company:

Bethlehem, Pennsylvania, United States

Teaching Assistant for BIS 044 (Business Analytics) at Lehigh's College of Business. Conducted weekly office hours to assist students with R programming, RStudio, Git, and assignments.

Bethlehem, Pennsylvania, United States

Worked on my Master's thesis researching and building a deep learning model that can infer an object's position mimicking echolocation (Python: OpenCV, PyTorch, and Matplotlib)

Bethlehem, PA

• Lead a project for Library & Technological Services (LTS) at Lehigh University to optimize the shift scheduling at university libraries
• Developed a novel Integer Programming (IP) model for preference-based shift assignment of work-study students; Paper accepted for oral presentation and in-proceedings for Operations Research track at IISE 2021.
• Transformed student's shift preferences data in Python using Pandas to make them model ready
• Formulated model using DOcplex Python API and solved using CPLEX; Reported optimal schedules and result statistics in Tableau
• Streamlined the overall scheduling process resulting in higher student satisfaction and saving upto 10 wage hours/week
• Best Research Award at the Annual Master's Research Symposium hosted by the Industrial & Systems Engineering (ISE) department, Lehigh University

Master Of Science - Ms, Industrial And Systems Engineering

Bachelor Of Technology - Btech, Mechanical Engineering

Undergraduate thesis in researching material properties of Cr-Mo alloy steels

Exchange Student, Mechanical Engineering