Nolan Yee
About Nolan Yee
Nolan Yee Data Analyst
Nolan Yee is a data analyst with a robust background in analytical chemistry and data science. He has a wide-ranging skillset that spans data analysis, web development, Salesforce development, and database administration. Known for applying machine-learning to derive insights and automate processes, Nolan has successfully transitioned from chemical biology to data science through intensive self-study and hands-on project work.
Nolan Yee Education and Expertise
Nolan Yee earned a bachelor's degree in chemical biology with highest honors from UC Berkeley. His academic background in such a rigorous field laid a solid foundation for his career in research and development. Over eight years, he specialized in analytical chemistry, utilizing applied statistics and programming to address complex projects. This experience provided the essential skills for his subsequent transition into data science, where he self-studied to build a strong portfolio.
Nolan Yee Professional Background
Nolan Yee has eight years of experience working in research and development, focusing specifically on analytical chemistry. His career involved applying statistical methods and programming knowledge to solve intricate research problems. After shifting to data science, Nolan continued to expand his professional scope. He now performs data analysis, web development, Salesforce development, and database administration. His role involves leveraging machine-learning techniques to extract actionable insights and developing automations and interfaces to streamline workflows.
Nolan Yee Personal Interests and Volunteering
Outside of his professional life, Nolan Yee is actively involved in his community as a church volunteer. He also pursues a variety of personal interests that round out his profile, including cooking, making art, and playing music. These hobbies not only provide a creative outlet but also demonstrate his multifaceted personality and diverse skillset.