Andrew Maas
VP Data Science And Engineering
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolAndrew Maas is a technology executive with 15 years of experience building and scaling cloud-native data platforms, currently serving as VP Data Science and Engineering at tellic. He has a track record of leading data engineering organizations through growth and productization, including a prior VP role at Carrot Health. Based in Minneapolis, he combines hands-on technical leadership with strategic operations to deliver production-ready analytics and ML infrastructure. His background in information systems and technology grounds a pragmatic approach to marrying data science ambitions with reliable engineering practices. Known for accelerating cross-functional teams, he often focuses on observability, data governance, and platform ergonomics that reduce time-to-value for stakeholders. Colleagues describe him as a builder who balances long-term platform vision with the tactical work required to ship impactful products.
15 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Information Systems and Technology, Bachelor of Science, Information Systems and Technology at University of Minnesota-Duluth
Github Skills (14)
machine-learning10
python10
tensorflow9
classification9
neural-network9
recurrent-neural-networks9
deep-learning9
pytorch9
ml8
data-science8
deep-neural-networks8
jax8
automatic-speech-recognition7
speech-recognition7
Programming languages (4)
Github contributions (5)
amaas/rnn-speech-denoising
Feb 2013 - Jun 2014
Recurrent neural network training for noise reduction in robust automatic speech recognition
Contributions:2 commits in 1 year 3 months
automatic-speech-recognitionrecurrent-neural-networks
amaas/lblDm-demo
May 2011 - Jun 2011
Contributions:3 commits in 1 month
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