Keesha Erickson

Staff Data Scientist at Eventbrite

Keesha Erickson has a diverse range of work experience, with a focus on data science and engineering.

Keesha started their career at Hach Company as a Mechanical Engineering Intern, gaining familiarity with lean manufacturing principles and instrument design.

Keesha then worked as a Maintenance Engineering Intern at Motiva Enterprises LLC, where they created systems to improve block valve maintenance and reliability.

After that, Keesha joined Shell Oil Company as a Pressure Equipment Engineer, gaining knowledge of pressure equipment integrity and maintenance practices.

Keesha then transitioned to the field of data science, working as a Health Data Science Fellow at Insight Data Science.

Keesha then joined Los Alamos National Laboratory as a Postdoctoral Researcher, where they conducted research in their field of expertise.

Keesha'snext role was as a PhD Candidate/Research Assistant at the University of Colorado at Boulder, where they also served as a Teaching Assistant for various courses.

After completing their PhD, Keesha joined Myriad Genetics as a Data Scientist III, where they worked on multiple projects related to machine learning, analytics, and data platform maintenance.

Keesha later joined Doma as a Senior Data Scientist and then as Staff Data Scientist, focusing on building machine learning models to enhance the home buying, selling, and refinancing process.

Currently, Keesha is working at Eventbrite as a Staff Data Scientist.

Keesha Erickson has a strong educational background with degrees and certifications in various fields. Keesha holds a Doctor of Philosophy (PhD) in Chemical and Biological Engineering from the University of Colorado Boulder. Prior to their PhD, they obtained a Bachelor of Science (BS) degree in Mechanical Engineering from the Colorado School of Mines.

In addition to their formal education, Keesha has also obtained several certifications. Keesha completed the "Web Application Technologies and Django" certification program at the University of Michigan in December 2022. Keesha has also completed various online courses on topics such as Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Structuring Machine Learning Projects, Neural Networks and Deep Learning, and Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization. These courses were completed on the online learning platform, Coursera, between July 2021 and September 2021.

Keesha also holds an "Engineer in Training" certification from the National Council of Examiners for Engineering and Surveying (NCEES), although the specific obtained month and year are not provided.

Overall, Keesha Erickson has a strong foundation in engineering and has pursued further education and certifications to expand their knowledge in areas such as machine learning and web application technologies.

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Timeline

  • Staff Data Scientist

    April, 2023 - present