Raymond Heberer
Data Scientist
British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolRaymond Heberer is a data scientist and software architect with nine years of experience turning complex data problems into reproducible, abstracted solutions. Based in British Columbia, he leads data and architecture work at Proximate Research while founding Great Tomb Productions to explore product and creative ventures. His background spans applied AI, reinforcement learning prototyping for mobility solutions, and production-focused machine learning—from character-level LSTMs to PySpark and Dockerized workflows. Known for diving deep into core concepts while maintaining wide-ranging curiosity, he pairs technical rigor with a knack for simplifying workflows and mentoring others. An uncommon strength is his ability to formalize messy, domain-specific processes into reusable frameworks that make collaboration and iteration faster.
8 years of coding experience
1 year of employment as a software developer
High School, High School at Taipei American SchoolApplied AI, Applied AI at iXperience CTPhysics, Physics at University of Notre DamePhysics, Physics at McGill University
English, Spanish
Github Skills (51)
notebook10
starcraft10
lambda10
data-science9
machine-learning9
playing9
science9
python8
api8
apl7
sprint6
esoteric-programming-language6
code-golf6
cobol6
esoteric-language5
Programming languages (5)
Github contributions (5)
rayheberer/LambdaSchoolDataScience
Apr 2018 - Jan 2020
Completed assignments and coding challenges from the Lambda School Data Science program.
Contributions:263 commits, 225 pushes, 1 branch in 1 year 9 months
school-datapythonsciencedata-sciencenotebook
rayheberer/rayheberer.ai
Jun 2017 - Jan 2020
Contributions:468 pushes, 1 branch in 2 years 7 months
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