Minneapolis - Boise - Austin/Houston - Indianapolis - Raleigh/Durham - Salt Lake City
Minneapolis - Boise - Austin/Houston - Indianapolis - Raleigh/Durham - Salt Lake City
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Scott is a graduate of the University of St. Thomas School of Law and has experience working with machine learning models, particularly in applications related to data analysis, predictive modeling, and automation. In addition, he has experience in areas such as building information modeling (BIM), network devices, data centers, uninterruptible power supplies, flash memory, polymer science, print substance chemistry, biomedical devices, and safety equipment.
Scott also has forensic research experience utilizing headspace gas chromatography techniques and has worked with various mechanical systems, including electric motors, hydraulics, solenoids, boiler systems, and combustion engines.
In addition to his professional work, Scott volunteers with LegalCORPS, providing pro bono assistance to entrepreneurs, inventors, and small businesses.