Katie Lazell-fairman

Data Engineer

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Katie Lazell-fairman is a data engineer with 11 years of cross-industry experience building reliable data products and predictive models for regulated and high-stakes domains. She has moved from aerospace and medical-device quality and compliance into commercial real estate analytics and AVM modeling, then founded and led development at an art-focused software startup—demonstrating both domain versatility and product-minded engineering. Skilled in Python, data engineering, machine learning and analytics, she specializes in productionizing models, improving model performance, and embedding strong quality systems where regulation and auditability matter. Based in New York, she blends hands-on technical delivery with process design (Six Sigma Green Belt) and a pragmatic entrepreneurial streak that surfaces in tailored solutions for niche markets.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster of Engineering - MEng, Aerospace Engineering, Master of Engineering - MEng, Aerospace Engineering at The University of Manchester
bookData Science, Computer Software Engineering, Data Science, Computer Software Engineering at Galvanize - San Francisco, SoMa
bookSix Sigma Green Belt, Six Sigma Green Belt at Villanova University
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Github Skills (8)

dance8
jazz7
styles6
swing6
music5
classification5
machine-learning4
python4

Github contributions (5)

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lazell/jazz_music

Jan 2018 - Apr 2018

Contributions:131 commits, 1 PR, 120 pushes in 3 months
songgenrepythongenre-classificationjazz
Contributions:3 pushes, 1 branch in 2 years 2 months
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