Summary
Nafis Asghari is a Senior Data Scientist based in San Diego with seven years of experience turning complex, large-scale datasets into operational AI and analytics products. He has a strong engineering foundation and a proven track record deploying ML-driven monitoring and alerting systems at retail scale, improving operational metrics and system efficiency. At Snapp.ir he led analytics efforts that cut driver churn by 25% and trip acceptance by dramatically improving fleet behavior, and at Acosta he built data-led alerting and testing frameworks that shipped into production. Comfortable across Python, R, SAS, Spark and Hadoop, he blends deep statistical knowledge with practical systems design to move models from research into robust production services. Nafis also brings teaching experience and multidisciplinary training in AI and process engineering, which helps him bridge technical, business and operational stakeholders effectively.
7 years of coding experience
1 year of employment as a software developer
Master's degree Process Engineering, Master's degree Process Engineering at Sharif University of Technology
Certification Artificial Intelligence, Certification Artificial Intelligence at University of Toronto
Master's degree Management in Artificial Intelligence, Master's degree Management in Artificial Intelligence at Smith School of Business at Queen's University
English, Persian