Preethi Issac is a seasoned data scientist with extensive experience in product data analysis and machine learning. Currently serving as a Senior Product Data Scientist at Mozilla since February 2022, Preethi previously contributed as a Data Scientist at Toyota North America from December 2019 to February 2022, where responsibilities included stakeholder collaboration to identify data-driven business opportunities and developing interactive dashboards using Tableau. Prior experience includes a role at DuPont Pioneer from June 2015 to November 2017, focusing on machine learning and predictive modeling for agronomic and meteorological datasets, and a research assistant position at the Tippie School Of Business, where algorithms for routing plans were developed. Preethi holds a Master's degree in Applied Mathematics and Operations Research from Delhi University, a Master of Arts in Business Administration from The University of Iowa Tippie College of Business, and a Bachelor's (Honors) degree in Mathematics from Delhi University.
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