Nolan Conaway

Senior Data Scientist

New York, New York, United States
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Summary

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Nolan Conaway is a Senior Data Scientist based in New York with 11 years of experience bridging cognitive science and applied machine learning. He holds a PhD from Binghamton University and began his career in cognitive science, bringing rigorous experimental and analytical thinking to production data problems. At Aquabyte he applies advanced data methods to real-world systems, focusing on reliable, testable pipelines and user-facing tooling. An active open-source contributor, Nolan improved SQLFluff’s CLI linting, added stdin handling and JSON/YAML outputs, and strengthened test coverage—work that underscores his emphasis on developer experience and automation. Colleagues know him for blending academic depth with pragmatic engineering, turning complex research insights into maintainable production features.
code12 years of coding experience
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Binghamton University
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Stackoverflow

Stats
2,699reputation
908kreached
33answers
30questions
Badges
json
top-5%
python
top-5%
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Github Skills (22)

pytest10
python10
testing10
command-line-interface10
lint10
sql10
command-line10
linter10
cli10
json9
yaml9
multiprocessing6
logistic-regression6
softmax6
machine-learning6

Programming languages (10)

TypeScriptRShellTeXJavaScriptObjective-CHTMLJupyter Notebook

Github contributions (5)

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sqlfluff/sqlfluff

Nov 2019 - Sep 2021

A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Role in this project:
userBack-end Developer & Automation Engineer
Contributions:1 release, 23 reviews, 49 commits in 1 year 10 months
Contributions summary:Nolan contributed to the SQLFluff project by implementing new features and fixing bugs related to the command-line interface (CLI) and linting functionality. Key additions include the implementation of stdin input handling for linting and fixing, as well as adding support for JSON and YAML output formats. Furthermore, the user addressed code quality issues by appeasing flake8 and added tests. These changes demonstrate their focus on improving user experience and automated testing within the project.
lintersqlsql-linterpypi
nolanbconaway/shabadoo

Feb 2020 - Dec 2020

Very easy Bayesian regression.
Contributions:11 releases, 114 commits, 24 PRs in 10 months
bayesian
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