Nathan Fritter is a seasoned data professional with a strong background in data engineering and consulting across various prominent companies. Currently serving as a Senior Data Consultant at Qbiz Inc. since November 2021, Nathan has honed skills in data management and is transitioning into the Machine Learning Engineering field through self-led projects. Prior experience includes a role as a Data Engineer at Lyft, where Nathan contributed to a critical dataset migration project, and as a Data Engineer/Analyst at Google and Fitbit, focusing on capacity engineering and cost-saving initiatives through innovative dashboard solutions and ETL pipeline development. Earlier career highlights include work as a Business Intelligence Analyst at PointCare, where Nathan facilitated the creation of insightful reports, and as an Undergraduate Research Assistant at UC Santa Barbara, exploring demographic data for insurance assessments. Nathan holds a Bachelor of Science in Applied Statistics from UC Santa Barbara and has completed certificate courses in data-related technologies.
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