Darrell L. Nelson II

Data Scientist at HRL Laboratories

Darrell L. Nelson II has a diverse work experience spanning various roles in different organizations. Most recently, they served as a Data Scientist at HRL Laboratories, LLC beginning in June 2020. Prior to that, from 2016 to 2018, Darrell worked as a Process Support Engineer at Applied Materials, where they managed clients and played a key role in the development and optimization of flash memory processes. Darrell also held weekly meetings and presentations to communicate project objectives and progress.

Before their role at Applied Materials, Darrell worked as a Summer Research Intern at Washington University in St. Louis in 2015, where their focus was on using machine learning approaches to design catalysts for C1 chemistry. Additionally, they served as a Senator for the student chapter of the National Society of Black Engineers (NSBE) at Washington University in St. Louis from 2014 to 2015, contributing to the development of strategies and best practices.

Darrell's earlier experience includes a research assistant role at Washington University in St. Louis in 2014, where they worked on understanding aerosol formation in combustion systems and assisted in the manufacture of specialized lab equipment.

Overall, Darrell L. Nelson II has demonstrated expertise in data science, process engineering, research, and strategic leadership throughout their career.

Darrell L. Nelson II began their education in 2011 at Lewis & Clark College, where they pursued a Bachelor of Arts (B.A.) degree in Chemistry. Darrell attended Lewis & Clark College for three years, until 2014.

Following their time at Lewis & Clark College, Nelson continued their education at Washington University in St. Louis. From 2014 to 2016, they pursued a Bachelor of Science (B.S.) degree in Chemical Engineering.

Nelson's educational journey further continued at Syracuse University from 2018 to 2019. During this period, they obtained a Master's degree in Applied Data Science, specializing in this field.

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