I am results-driven, with a diverse background and skillset in psychology, data science, and healthcare.

As a Graduate Assistant in the Department of Geography, I have successfully taught and mentored a diverse group of students in the Big Data Science and Analytics Platforms class, fostering their proficiency in tools such as Tableau, Amazon AWS, R, Python, and ArcGIS. I have also conducted data analysis and created visualizations using ArcGIS Pro, Python, and R, contributing to a paper funded by the National Institute of Health. The research aims to provide recommendations to the San Diego County government on future COVID-19 test site locations, considering health disparities in specific areas.

Previously, as a Clinical Research Coordinator at UCLA Health/GLAVREF, I excelled in managing study-related data for over 100 active patients. Through collaboration with cross-functional teams, I enhanced study workflows and ensured compliance with internal review board regulations and sponsor policies.

Through my unique experiences, I have cultivated a strong aptitude for problem-solving, data analysis, and visual storytelling, making me a versatile and valuable asset. I am actively seeking opportunities where I can leverage my expertise in Big Data Analytics, combine my analytical skills with my passion for understanding human behavior, and make a meaningful impact through data-driven decision-making. Let's connect and explore potential collaborations or opportunities to drive innovation together.

Skills that I've developed throughout the past two years include:

• Python
• R (R-Studio)
• SQL (MySQL, MariaDB)
• PHP
• HTML/CSS
• ESRI products: ArcMap, ArcGIS Pro/Online, Business Analyst Online
• GitHub
• Tableau
• Power BI
• SAP
• Microsoft Office Suite
• Amazon AWS

Education:

• M.S. in Big Data Analytics, San Diego State University (2021-2023)
• B.A. in Psychology, University of California Los Angeles (2015-2019)

In my free time, I can be found: reading or listening to a good book, hiking with my dog, hanging out at the beach, and hopefully eating a good bowl of noodles.