Jerimiah Willhite
About Jerimiah Willhite
Jerimiah Willhite is a Software Engineer III specializing in Python tooling at Anaconda, Inc. He has a diverse educational background in data science and Chinese language, along with extensive experience in software engineering and translation.
Work at Anaconda
Jerimiah Willhite currently holds the position of Software Engineer III - Python Tooling at Anaconda, Inc. He has been with the company since 2022, contributing to various projects in a remote capacity. His role focuses on developing and enhancing Python tooling, which is essential for data science applications. Anaconda is known for its open-source distribution of Python and R for scientific computing, and Willhite's expertise in data science and software engineering aligns with the company's mission.
Education and Expertise
Jerimiah Willhite has a diverse educational background. He studied Data Science at Lambda School from 2019 to 2020. Prior to that, he earned an Associate of Arts (AA) in Broadcasting from Green River Community College between 2004 and 2006. He also holds a Bachelor of Arts (BA) in Chinese Language and Literature from the University of Washington, which he completed from 2006 to 2009. His educational experiences have equipped him with skills in data science, natural language processing, and software engineering.
Background
Jerimiah Willhite has a multifaceted professional background that includes roles in software engineering and translation. He began his career as a freelance translator in Beijing, China, where he worked for a decade. He transitioned to data science, leveraging his skills in Mandarin Chinese to enhance natural language processing projects. His work experience includes positions at Lambda School, Exabeam, and Turin Horse, where he specialized in data automation and building ETL pipelines.
Achievements
Throughout his career, Jerimiah Willhite has made significant contributions in various roles. At Lambda School, he served as a Team Lead for a brief period, guiding teams in data science projects. His tenure at Exabeam as a Software Engineer focused on data automation, while his work at Turin Horse involved data science applications. His expertise in building ETL pipelines and translation systems has been pivotal in his roles, showcasing his ability to integrate software engineering with data science.