Daniel Wooten
Principal Associate, Data Science at Capital One
Based in Berkeley, United States
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Seniority
Director
Department
Information Technology
Location
Berkeley
Industry
Financial Services
Company size
82K
Contact information
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d•••••••@capitalone.com
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Background
About Daniel Wooten
My skills in relation to this objective are complex multi-objective problem solving coupled with a sizable background in systems code development in both C/C++, PYTHON, and R. I have extensive experience with parallel programming frameworks most notably MPI and OpenMP as well as a some familiarity with CUDA. Thanks to a quality mentor in my early years of graduate school, computational best practices have been the core from which all of my algorithmic experience has been developed. My recent focus has been in machine learning algorithms, mostly reinforcement learning for recommender systems as well as some work in both computer vision for emotion detection and tweet sentiment analysis with BERT.
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