Arena Analytics
Thomas Kavanagh is a seasoned data scientist with a diverse background in data analytics, computer vision, and machine learning. Currently serving as a Senior Data Scientist at Arena Analytics since December 2022, Thomas has focused on training predictive models and optimizing model training workflows. Prior to this role, Thomas contributed to Alkymi by developing data extraction models and automating machine learning processes. Earlier experience includes implementing various machine learning techniques at Metis and engineering systems at Ziva Meditation, where Thomas streamlined marketing automation processes. A creative background in video editing and interactive media design complements the technical expertise, supported by education in Mathematics from Duke University and advanced directing from the National Theater Institute.
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Arena Analytics
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Arena Analytics uses predictive analytics and machine learning to help organizations find the best talent. By revealing each candidate’s likely performance in specific positions, departments, and locations, Arena transforms the labor market from one based on perception and unconscious bias to one based on outcomes.