Negar Saberian, PhD

Negar Saberian is a seasoned professional with over 10 years of experience in Advanced Analytics, specializing in Operations Research and Machine Learning.

Throughout her career, Negar has demonstrated exceptional leadership skills, including 8+ years of experience in building analytics teams and guiding junior members, 4+ years of experience in leading cross-functional teams, and orchestrating analytical processes and workflows, and 3+ years of experience collaborating closely with C-level executives.

Negar Saberian holds a Doctor of Philosophy (Ph.D.) in Industrial Engineering from the University of Washington and a Master of Science (MS) in Industrial Engineering from Sharif University of Technology.

Having worked in renowned organizations such as Lyft as Decision Science Manager, McKinsey & Company as Analytics Engagement Manager, Apple as Operations Research/Data Scientist Lead and Operations Research Scientist, and T-Mobile as a Corporate Strategy Intern, Negar has gained a diverse range of experiences and skills.

Furthermore, Negar's academic background and professional experience demonstrate a deep understanding of analytics, operations research, and machine learning, making her a valuable asset in any data-driven organization.