Austin P. is a professional in their field. Colleagues describe him as "Really enjoyed working with Austin during his internship(s) at Quantifind. He demonstrated an ability to take on Data Science problems that were sometimes slightly outside of his comfort zone and deliver a high-quality solution in a timely manner. Austin took on a variety of projects during his internship stints including developing new ETL pipelines, Building Custom NER Models, and client-focused projects. On the skills side, I would highlight his Software Engineering skills, strong data intuition, and a detail-oriented approach to problem-solving. Austin's positive attitude and communication skills helped him to settle down quickly and become a core member of our team in no time. I highly recommend Austin for DS or SWE roles and would love to work again with him in the future." and "I had the pleasure of overseeing Austin's summer internship at Quantifind following his freshman year at the University of Edinburgh. Over the course of his internship Austin proved himself to be a very strong software engineer and a great team player. Austin took full ownership of his internship project and was able to accomplish every goal set out by senior management at the beginning of the summer. He built high quality data pipelines and extracted valuable insights from complex datasets, all of which contributed significantly to the company achieving some of its broader goals. Austin was extremely driven, motivated, a quick and eager learner, curious, and a positive team member. I would be happy to work with Austin again in the future!"
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Data Science InternQuantifind Jul 2019 - Aug 2021Menlo Park, California, United StatesBuilt multiple ETL pipelines to gather entities and extract metadata from semi-structured articles and public websites.Developed a visual graphing application for unveiling degrees of connections and risks between corporate officers and organizations.
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