Senior Data Scientist and ML Engineer building production ML systems for supply chain and logistics — from demand forecasting and inventory optimization to NLP-powered operations tooling.

Background

I started my career with a background in mechanical engineering before transitioning into supply chain analytics, where I discovered my passion for using data to solve complex problems in the organization. Over time, I realized I was most excited by the data science and modeling approaches, trying to understand the concepts at a deeper level. That led me to enroll in a Master in Applied Data Science program, where I’ve been expanding my knowledge with data scientists who work with some real cutting-edge approaches. Today, I’m finding ways to apply those tools toward high-impact problems: ones that require robust solutions and creative approaches.