Sahar Alizadeh

Sahar Alizadeh is a Senior Machine Learning Engineer and Data Scientist at Fandom, specializing in advertisement targeting and personalization with a focus on genres prediction. With a robust background in machine learning, data science, and software development, Sahar has significantly contributed to projects involving ETL pipeline design on AWS S3 and the development of LLM-based models for improving ad relevance. Previous experience includes roles as a Machine Learning Engineer Intern at Twenty Ideas, where Sahar worked on Named Entity Recognition, and various research and teaching positions at Oregon State University, focusing on machine learning algorithms and user experience design. Sahar's earlier internships involved click-through rate prediction at Fandom and cost prediction in construction projects at PPMG Consultants. Sahar holds a PhD and a Master's degree in Computer Science from Oregon State University, along with a Master's degree in Multimedia from Universiti Putra Malaysia.