Summary
Navid Mashinchi is a Senior Data Scientist with eight years of experience building production-grade ML and AI systems that drive personalization, forecasting, and customer experience across retail and consumer brands. Currently supporting Vans at VF Corporation, he has a track record at Kohl’s of delivering high-impact models—including a hybrid recommendation system that unlocked $13.8M in revenue and forecasting solutions that improved port arrival accuracy by 67%. He combines applied engineering (BigQuery, Vertex AI, Kubeflow, LightGBM) with product-facing deployment and monitoring, and mentors others as an adjunct professor at the University of Denver and a former SharpestMinds mentor. His background in sports analytics and as a former professional soccer player informs a pragmatic, team-oriented approach to data-driven decision-making. Notably, he pairs academic rigor and published thought leadership with hands-on Streamlit apps and end-to-end productionization experience.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Commerce (B.Com.) Accounting, Bachelor of Commerce (B.Com.) Accounting at The University of British Columbia
Master's degree Data Science, Master's degree Data Science at University of Denver
English, German, Persian