Paul Jacob

Omdena

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Paul Jacob

Data Scientist | Deep Learning, Computer Vision, and Python

Paul Jacob is a data scientist with extensive experience in electrical engineering and data analysis. They worked at Ted Jacob Engineering Group from 2016 to 2019, where they developed power and lighting plans and engineered circuit designs. Paul's internship at CubeCab in 2016 involved prototyping a data acquisition system for a sounding rocket while optimizing processes using Debian Linux. From 2020 to 2023, they were a Data Science Fellow at Springboard, focusing on machine learning and data visualization, and are currently employed as a data scientist at Omdena, where they contribute to projects involving deep learning and computer vision.

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San Francisco, United States

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