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.
10 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Aerospace Engineering, Master of Engineering - MEng, Aerospace Engineering at The University of Manchester
Data Science, Computer Software Engineering, Data Science, Computer Software Engineering at Galvanize - San Francisco, SoMa
Six Sigma Green Belt, Six Sigma Green Belt at Villanova University
Contributions:3 pushes, 1 branch in 2 years 2 months
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