Jaber Fooladi is a Data Scientist at ASCII, specializing in Natural Language Processing (NLP) and the extraction of actionable insights from news data to enhance supply-chain analysis. At ASCII, Jaber is focused on transforming unstructured news streams into concise, insightful analytics to deliver robust supply-chain intelligence.
In his previous industry experience, Jaber has worked as a machine learning engineer, data scientist, and AI consultant. He has collaborated with diverse sectors, including financial hedge funds, brokerage firms, and app stores, where he developed novel machine learning algorithms to leverage their data and integrate AI into their applications.
Additionally, Jaber maintains a keen interest in the broader implications of AI and machine learning, often exploring new advancements in the field and their potential to shape various industries.
