Vincent Yabor

As a key member of the Data Team for two years, Vinny’s introduction as a Data Scientist was with a vision: to infuse the team with cutting-edge perspectives in machine learning. His pioneering work on AI projects, like image classification for Fitzpatrick skin scores and predictive models for appointment cancellations, underscores his pivotal role in advancing our analytical prowess.

Vinny’s impact extends to operational efficiencies, having revolutionized scheduling and project management tools. His mastery of Python and JavaScript has enabled the creation of dynamic systems that manage scheduling and data entry, automate email notifications, and perform live quota calculations, which are pivotal to Exponent’s success in meeting study quotas.

In the tech arena, Vinny leverages Amazon Web Services to bolster our tech stack, utilizing AWS Lambda, EC2, SageMaker, S3, and CloudWatch to ensure our project infrastructure is robust and reliable.

Holding a Master's in Statistics, Vinny's commitment to continuous learning drives him towards the next frontier in AI, notably generative adversarial networks, positioning him at the forefront of Kadence’s journey into the evolving landscape of data science.