Joe Mccarthy
Lead Quantitative User Experience Researcher
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJoe Mccarthy is a Lead Quantitative User Experience Researcher in Seattle with 15 years of experience blending AI, NLP, machine learning and ubiquitous computing to improve products used by millions. He specializes in connecting qualitative user insights with large-scale behavioral and resume data to identify, fix, and prevent broken experiences across hiring platforms. A former academic and research lead at Nokia, Intel and Atigeo, he brings deep research rigor together with hands-on data science and product delivery. Joe also founded Interrelativity and led real-world deployments of proactive display systems that anticipated social interactions—an early practical exploration of social computing. His open-source contributions include modernizing a popular Python for Data Science primer, reflecting a commitment to pragmatic education and toolchain compatibility.
14 years of coding experience
23 years of employment as a software developer
M.S., Computer Science, M.S., Computer Science at Rensselaer Polytechnic InstitutePh. D., Computer Science, Ph. D., Computer Science at University of MassachusettsB.A,, Philosophy, B.A,, Philosophy at Ripon College
Stackoverflow
1,128reputation
567kreached
9answers
0questions
twitter
top-5%
Github Skills (13)
jupyter-notebook10
python10
data-science10
machine-learning9
ipython9
twitter9
datetime6
formatting6
bash6
math6
tweepy6
numpy6
ubuntu6
Programming languages (2)
Github contributions (5)
gumption/Python_for_Data_Science
Apr 2014 - Jun 2016
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 1 PR, 16 pushes in 2 years 2 months
Contributions summary:Joe primarily contributed to the project by modifying and updating the primary notebook, "Python_for_Data_Science_all.ipynb". The contributions involved incorporating Python 3 compatibility by importing the `print_function` and `division` features, and fixing related compatibility issues. Further changes included re-running nbconvert on the notebook and removing errant backslashes.
primerpythonsciencedata-sciencelearn-python
gumption/pydata-simpsons
Jul 2017 - Jul 2017
Contributions:8 commits, 6 pushes, 1 branch in 1 day
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