I am a data scientist with expertise in solving real-world business problems with data analytics. Proficient in leveraging complex machine learning and statistical modeling techniques to extract valuable insights for key stakeholders. 2+ years of experience in research and project work, 2 years of experience in IT, and 1 year of experience in data science.
As an undergrad, I pursued Earth System Science, which was driven by my passion for the sciences and the world around us. Working as an undergraduate researcher in the Primeau lab, I learned how to take large, unformatted data and create a model that can explain a natural function of the Oceans' carbon cycle.
I fell in love with working with data and have since pivoted my career towards Data Science. I have strong analytical skills backed up with experience working to resolve issues that directly influence business operation. Currently, I am working as a Business Intelligence Engineer at Amazon.
If you'd like to learn how I can be of great value to your company, please reach out via email at [email protected] or download my resume here.
University of California, Riverside
Master's of Science in Engineering, Data Science - 2021
University of California, Irvine
Certificate of Data Science, 2020
Undergraduate Researcher, Primeau Lab 2016-2018
Bachelor's of Science, Earth System Science, 2018
Springboard
Data Science Track, 2020
Recommended Reading: An Introduction to Statistical Learning with applications in R
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