Daniel Morton
Freelance Data Scientist
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolDaniel Morton is a freelance data scientist with a PhD in mathematics, an MS in analytics, and 13 years of experience building production-grade ML systems and distributed data platforms. He blends deep theoretical knowledge—symplectic geometry and the mathematics of neural nets—with hands-on engineering in seven languages (including Rust, Scala, and Python) to ship models for recommendation, campaign optimization, and object detection. Notable impacts include doubling keyword recommendation volume at 6sense, developing a distributed simulation platform that eliminated live testing costs, and top-6% Kaggle placement for wildlife image classification. A fast learner and team subject-matter expert, he routinely takes new technologies from zero to production in weeks and authors utility packages for web scraping, detection, and simulation. Based in New Jersey, he also experiments with mathematical apps and novel computational puzzles (Collatz generalizations and Newton fractals), reflecting a blend of curiosity-driven research and pragmatic product focus.
13 years of coding experience
9 years of employment as a software developer
Stanford Continuing StudiesMaster of Science in Analytics, Master of Science in Analytics at Northwestern UniversityPhD, Mathematics, PhD, Mathematics at University of Illinois Urbana-ChampaignBS, Mathematics, BS, Mathematics at Wake Forest University
Github Skills (12)
machine-learning10
deep-learning10
python10
data-science9
google-colaboratory9
tensorflow9
neural-network9
ml8
deep-neural-networks8
economy5
open-data3
data-driven2
Programming languages (4)
Github contributions (5)
DanielMorton/ratel
Sep 2019 - Aug 2021
Contributions:140 commits, 130 pushes, 22 branches in 1 year 11 months
DanielMorton/ratel-py
Sep 2019 - Aug 2021
Contributions:77 pushes, 3 branches in 1 year 11 months
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