Nathan Danielsen
Engineering Team Lead at Freelance
Los Angeles Metropolitan Area United States
Summary
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RockstarNathan Danielsen is an engineering team lead based in Los Angeles with 11 years of experience building web, SaaS, and data platforms and currently leading Carvana’s Vehicle Data and Inventory platform team. He combines hands-on full-stack development (Python, JS, React, Django, serverless) with operational leadership—organizing remote teams across HR, finance, risk, and product while implementing pragmatic agile practices. A longtime open-source contributor to the PyData ecosystem, he’s worked on projects like Yellowbrick and Dask and has produced practical notebooks demonstrating visualization-driven model selection. Equally comfortable shipping microservices behind federated GraphQL APIs or consulting on analytics pipelines, he brings a data-first mindset and a community-focused history as a PyData/meetup organizer. Notably, he pairs engineering craft with people operations experience that helps scale distributed teams without losing developer productivity.
11 years of coding experience
Stackoverflow
51reputation
917reached
3answers
1question
Github Skills (23)
data-visualizations10
visualization10
python10
multiple-selection10
feature-selection10
scikit10
machine-learning10
data-visualisation10
variable-selection10
scikit-learn10
data-visualization10
visualizations10
data-analysis10
matplotlib9
pandas9
Programming languages (12)
Github contributions (5)
DistrictDataLabs/yellowbrick
Feb 2017 - Jul 2021
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 2 reviews, 36 commits in 4 years 5 months
Contributions summary:Nathan contributed a notebook demonstrating the use of Yellowbrick tools for exploratory data analysis and machine learning model selection on the Iris dataset. The user explores feature exploration with RadViz. The primary focus is on data visualization and model selection techniques. The user's work is directly aligned with the repository's purpose.
pythonvisual-analysisvisualizermodel-selectionmachine-learning
pasadena-python-lab/pylab-classes
Jul 2018 - Sep 2018
Contributions:14 commits, 12 pushes, 1 branch in 1 month
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