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.
9 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 (30)
notebook10
data-science9
machine-learning9
starcraft9
playing9
sprint9
api8
cprogramming-language7
python7
sentiment5
graph5
exploratory4
points4
object-recognition3
spotify-api2
Programming languages (5)
Github contributions (5)
rayheberer/rayheberer.ai
Jun 2017 - Jan 2020
Contributions:468 pushes, 1 branch in 2 years 7 months
rayheberer/SC2Agents
Jul 2018 - Dec 2019
StarCraft 2 playing agents implemented for the PySC2 API
Contributions:103 commits, 1 PR, 91 pushes in 1 year 4 months
apistarcraftpythonagentspysc2
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