Erdem Eskigun

About Erdem Eskigun

I am a proven hands-on data science / AI leader with rich experience in developing and deploying high impact decision systems in AWS and Azure cloud environments using machine learning, reinforcement learning, multi-agent LLMs, and operations research technologies. I built and managed high performing data science /AI teams at Amazon, T-Mobile, and Chewy. I am currently heading the Data Science/AI, Engineering, and Product teams with 50+ headcounts in Inventory Technology and Science organization at Chewy.

Experience

1. Head of Data Science Ai, Engineering, and Product, Director, Inventory Technology and Science

   Chewy

   Apr 2025 — Present · Bellevue, WA, US

   I am heading the Data Science/AI, Engineering, and Product teams with 50+ headcounts in Inventory Technology and Science organization at Chewy. Our goal is to develop efficient inventory systems to enhance our customers experience and to maximize long term free cash flow for the company. We leverage wide variety of technologies, including machine learning, reinforcement learning, multi-agent LLMs, data science, and operations research, to develop and deploy cutting-edge inventory systems in AWS cloud environments.

Education

• Indiana University - Kelley School of Business

  Master, Finance

• Purdue University

  MS, PhD, Industrial Engineering

• Boğaziçi University

  BS, Industrial Engineering

• Amazon Machine Learning University

  Machine Learning

• Bilkent University

  MS, Industrial Engineering

Skills

• Operations Research
• Supply Chain Management
• Data Analysis
• Statistics
• Data Mining
• Analytics
• Optimizations
• Simulations
• Supply Chain
• Logistics
• Supply Chain Optimization
• Optimization
• Operations Management
• Management
• Process Improvement
• Mathematical Modeling
• Procurement
• Integration
• Industrial Engineering
• Project Planning
• Six Sigma