Clevyr
Tarrant Carter is a Data Scientist with significant experience in both corporate and self-employed settings. Currently at Clevyr, Tarrant has successfully discovered cost-saving models and developed data pipelines using SQL, Python, Pyspark, and Databricks, integrating these into AWS and Azure environments. Tarrant's self-employed work includes creating sports models with an impressive average ROI of 119% from 2018-2020, alongside a history of profitable data analysis from 2015-2017. Educational background includes a Bachelor's degree in Psychology and Philosophy from the University of Oklahoma and an Associate's degree in Psychology from Rose State College. Additional experience includes officiating soccer matches at collegiate and state levels.
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