Saman Kashanchi

About Saman Kashanchi

As a data scientist with a Master\'s degree in Computational Data Science and a minor in Economics, I have a strong background in machine learning, data science, and cloud computing. I have worked on various projects involving real-time data ingestion, attribution modeling, and ad spending optimization using Azure Data Factory, Synapse Analytics, and distributed computing. I have also led the migration of multiple brands to Azure Cloud, designing a scalable, high-availability infrastructure for real-time data synchronization and improving system performance and reliability. Additionally, I have developed Power BI dashboards delivering real-time insights into sales and customer behavior. In my previous role as a machine learning engineer at Chapman University, I advanced research in Generative AI and mentored undergraduates in their research on NLP and reverse engineering. I also developed generative modeling tools using neural networks like cGANs and Variational Auto encoders, reducing inference time by 50% and improving accuracy of nano-surface architecture design. I am passionate about applying my skills and knowledge to solve complex problems and create value for organizations.

Experience

1. Applied Machine Learning Engineer

   Moon

   Feb 2026 — Present · Glendale, CA, US

   Joined Moon, an early-stage startup founded by former Home Organizers leadership, to build and deploy production machine learning systems from the ground up. Focused on applied ML, real-time data pipelines, and scalable model deployment.

Education

• Chapman University

  Student

• Chapman University

  Master's degree