Summary
Armand Khachatourian is a Senior Data Scientist with a decade of experience designing and running end-to-end machine learning and forecasting systems, primarily using Python, SQL, and GCP. At Kohl’s he has led forecasting and optimization initiatives for over three years, progressing internally from associate roles into senior technical ownership. He combines formal training (MS in Applied Data Science from University of Michigan and dual BS/BA in Applied Math & Statistics and Economics) with hands-on experience building demand-forecasting models and practical automation scripts across retail and enterprise settings. Earlier roles include applied forecasting for vehicle demand and rapid LMS deployments during COVID-19, showing an ability to deliver high-impact solutions under constraints. Based in Oceanside, NY, he blends strong quantitative foundations with production-minded engineering to turn messy data into actionable business outcomes.
10 years of coding experience
3 years of employment as a software developer
Chaminade High School
Master of Science - MS, Applied Data Science, Master of Science - MS, Applied Data Science at University of Michigan
Bachelor of Science - BS, Applied Mathematics and Statistics, Bachelor of Science - BS, Applied Mathematics and Statistics at Stony Brook University