Saul Dorfman
About Saul Dorfman
Saul Dorfman is a Senior Data Engineer at Thomson Reuters, where he has worked since 2018. He specializes in data pipeline management and machine learning projects, leveraging his extensive experience in various engineering roles.
Work at Thomson Reuters
Saul Dorfman has been employed at Thomson Reuters as a Senior Data Engineer since 2018. In this role, he collaborates with analysts to automate large-scale decision-making processes. His responsibilities include creating and managing data pipelines across multiple domains, which enhances the efficiency of data handling and processing within the organization.
Previous Experience at MITRE
Dorfman worked at MITRE from 2008 to 2015, initially as a Multi-Discipline Systems Engineer for two years and later as a Senior Multi-Discipline Systems Engineer for five years. During his tenure, he engaged in various projects that involved machine learning, including natural language processing (NLP), entity resolution, clustering, and tagging. His expertise in these areas contributed to the development of advanced systems and solutions.
Experience at Booz Allen Hamilton
From 2018 to 2019, Saul Dorfman served as a Senior Data Scientist at Booz Allen Hamilton. His role involved applying data science techniques to solve complex problems. This position allowed him to further develop his skills in data analysis and system engineering.
Research Assistant at University of Chicago
Before his roles in data engineering and data science, Dorfman worked as a Research Assistant at the University of Chicago from 2006 to 2007. This position provided him with foundational experience in research methodologies and data handling, which he later applied in his engineering and analytical roles.
Education and Expertise
Saul Dorfman earned a Bachelor of Arts in Computational and Applied Mathematics from Rice University, where he studied from 2003 to 2006. His educational background laid the groundwork for his expertise in data engineering, particularly in creating and managing ETL processes for numerous data sources.