Zach Alexander
Data Science Architect
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolZach Alexander is a Data Science Architect in Austin with 11 years of experience building production ML systems and specializing in natural language processing and deep learning. At Salesforce he has progressed from Lead Data Scientist to Principal and now architects Service Cloud Einstein, translating research-grade models into scalable product features. He teaches applied machine learning and NLP with deep learning at datascience@Berkeley, blending academic rigor from a PhD in Applied Mathematics with hands-on industry delivery. Prior roles at Microsoft and Seagate reflect a strong foundation in real-time media quality, reliability modeling, and nonlinear time-series analysis. Known for mentoring through immersive data science instruction, he pairs mathematical depth with practical engineering to drive reliable, explainable AI in enterprise settings.
10 years of coding experience
9 years of employment as a software developer
Certificate in Data Science, Certificate in Data Science at UW Professional and Continuing EducationMS, Mathematics, MS, Mathematics at Eastern Washington UniversityUniversity of California Santa CruzDoctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Colorado Boulder
Github Skills (4)
breakout7
statistics3
python3
machine-learning2
Programming languages (2)
Github contributions (5)
zachalexan/neural-paraphrase-generation
Jan 2018 - Jan 2018
Contributions:16 commits, 1 branch in 8 days
zachalexan/springleaf-marketing
Sep 2015 - Sep 2015
Contributions:8 pushes, 1 branch in 14 days
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