Moe Moghadasi

Moe Moghadasi has a diverse work experience in the field of data science and optimization.

From 2020 to present, Moe worked at Windfall as a Data Science Manager, overseeing the application of machine learning and propensity modeling to provide actionable insights for go-to-market teams. Previously, from 2022 to 2022, Moe served as the Principal Data Science Tech Lead, leading technical efforts in data science. Prior to that, from 2020 to 2022, Moe held the position of Principal Data Scientist, where they worked on democratizing access to people data and incorporating machine learning techniques to drive greater business outcomes.

Moe also has experience in the transportation industry, specifically at Turo. From 2019 to 2020, they worked as a Staff Data Scientist, focusing on various areas such as pricing algorithms, behavioral risk modeling, and experimentation to improve net revenue.

Before Turo, Moe worked at Nomis Solutions from 2015 to 2019. In various roles, including Staff Optimization Engineer and Senior Optimization Engineer, they contributed to projects related to banking deposits forecasting, personal lending offer recommendation, and price optimization. Moe also played a role in the development and innovation of optimization software.

Additionally, Moe's early work experience includes a research assistant role at Boston University from 2010 to 2015, where they contributed to computational biology and energy management systems. Moe published algorithms based on optimization, applied probability, and machine learning to address key problems in these domains.

In 2013, Moe had a research internship at NEC Laboratories America, further enhancing their research skills.

Overall, Moe Moghadasi has a strong background in data science, optimization, and research, with experience in companies like Windfall, Turo, Nomis Solutions, and academic institutions such as Boston University and NEC Laboratories America.

Moe Moghadasi pursued their education in a chronological manner, starting with their Bachelor of Science (BSc) in Electrical Engineering from Sharif University of Technology, from 2005 to 2009. Moe continued their academic journey by attending Boston University, where they received their Master of Science (M.Sc.) in Systems Engineering in 2010. Moe then proceeded to complete their Doctor of Philosophy (PhD) in Systems Engineering at Boston University, a five-year program that spanned from 2010 to 2015.