Greg Jennings
About Greg Jennings
Greg Jennings is a Senior Engineering Manager at Anaconda, Inc., with a background in engineering and technology. He has extensive experience in developing tools for data scientists and has contributed to significant projects in Python code compilation and machine learning.
Work at Anaconda
Greg Jennings currently serves as a Senior Engineering Manager at Anaconda, Inc., a position he has held since 2022. He operates out of the Austin, Texas Metropolitan Area. In this role, he focuses on developing tools and platforms that cater to data scientists, leveraging his extensive experience in software engineering and data analytics.
Previous Experience at Booz Allen Hamilton
Prior to his role at Anaconda, Jennings worked at Booz Allen Hamilton as a Senior Associate from 2004 to 2011. During his seven years there, he contributed to various projects, including the Numba project, which aims to enhance the performance of Python code by compiling it to machine code.
Co-Founder and CTO at DataWhys
From 2014 to 2022, Jennings co-founded and served as Chief Technology Officer at DataWhys. His work involved creating innovative solutions that integrated analytics with clear presentation, enhancing data-driven decision-making for clients. This role allowed him to further develop his skills in Python, JavaScript, and Java.
Education and Expertise
Greg Jennings holds a Master of Engineering degree in Materials Science & Engineering from the University of Virginia, which he completed from 2001 to 2004. He also earned a Bachelor of Science degree with a double major in Physics and Chemistry from Longwood University between 1999 and 2001. His educational background supports his specialization in Machine Learning, Data Visualization, and Operations Research.
Technical Skills and Specializations
Jennings possesses a strong skill set in programming languages such as Python, JavaScript, and Java. He specializes in building solutions that incorporate Machine Learning and Data Visualization, focusing on creating tools that facilitate effective data analysis and presentation for data scientists.