Quantifind
Austin P. has worked as an Associate Data Scientist at Quantifind since September 2022. In this role, they have focused on building the foundation for representing structured relationships in the company's database and standardizing how relationships between entities are stored across multiple data sources. Austin has also made these relationships easily accessible for building relationship graphs while retaining descriptive metadata, thus enabling multiple new relationship-focused projects.
Prior to this, Austin worked as a Data Science Intern at Quantifind from July 2019 to August 2021. During their internship, they were responsible for building multiple ETL pipelines to gather entities and extract metadata from semi-structured articles and public websites. Additionally, they developed a visual graphing application that unveiled degrees of connections and risks between corporate officers and organizations.
Austin P. attended The University of Edinburgh from 2018 to 2022, where they pursued a degree in Artificial Intelligence and Computer Science with a focus on Informatics.
Quantifind
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Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat election tampering. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.