Mike Woodward is a seasoned software engineer and data science leader based in Massachusetts with about 9 years of experience delivering data-driven solutions at scale. He has led data science and analytics teams at SecurityScorecard and Axio, transforming long-running academic projects into business-focused programs and building models that quantify cyber risk with speed and precision using Python, NumPy, SciPy, and GenAI-driven analytics. He engineered a ransomware and data breach risk model at Axio that runs 10x faster, uses less memory, and features an automated testing framework and UI tooling (Streamlit) to accelerate adoption. His work in data quality and attribution at SecurityScorecard helped reduce churn, establish cross-functional OKRs, and uncover issues before customers were affected. With a physics-based quantitative foundation and management training from Harvard Extension School, he combines hands-on development with strategic leadership to deliver auditable, scalable data systems.
9 years of coding experience
7 years of employment as a software developer
M.Sc., Microwave Solid State Physics, M.Sc., Microwave Solid State Physics at University of Portsmouth
M.Phil., The properties of Se Doped MODFETs, M.Phil., The properties of Se Doped MODFETs at The University of Sheffield
ALMM, Management, Dean's List, ALMM, Management, Dean's List at Harvard Extension School
B.Sc.(Hons), Physics, B.Sc.(Hons), Physics at University of Leicester
Operating system independent controller and data visualizer for the Uni-Trend UT330B temperature and humidity logger. Full documentation provided. Uses Python, Pandas, and Bokeh.
Contributions:2 releases, 120 commits, 5 PRs in 5 years 3 months
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