Summary
Lisa Minas is a Senior Data and Applied Scientist with a decade of experience turning analytics and ML into measurable business impact across tech and insurance. At Microsoft she drives cost optimization, seller-facing recommendation tools, and Azure field enablement by aligning cross-team priorities so analytic work delivers high ROI. Her background at Facebook and Safeco blends causal experimentation, pricing models, and automation to improve advertiser guidance, commercial insurance modeling, and operational efficiency. Trained in statistics and data science (UW, UC Berkeley), she excels at translating complex technical work for non-technical stakeholders and finding overlooked automation opportunities that save weeks of analyst time. Known for directing analytics toward revenue growth and customer success, she pairs rigorous quantitative skills with practical product instincts.
10 years of coding experience
6 years of employment as a software developer
B.S., Statistics, Applied Computational Mathematical Science focusing in Mathematical Economics, B.S., Statistics, Applied Computational Mathematical Science focusing in Mathematical Economics at University of Washington
Master of Information & Data Science, Data Science, Master of Information & Data Science, Data Science at UC Berkeley School of Information