Summary
Mailei Stange is a Senior Analytic Scientist based in San Diego with nine years of experience turning complex, messy data into reliable insights using Python, SQL, Spark and Tableau. With a Master’s in Mathematics and a background teaching college-level math, she pairs rigorous statistical thinking with clear storytelling to help leadership and cross-functional teams act on results. She has led pipeline re-engineering and automation efforts that halved processing time and slashed manual work, and played a key role in validating fraud models for large banking consortiums. Comfortable across the full data lifecycle—from cleaning and QA to dashboarding and stakeholder communication—she thrives in AI-first transitions and truth-seeking projects. Her career blends academic rigor, practical engineering, and a knack for translating technical findings into business-ready narratives.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science Mathematics, Bachelor of Science Mathematics at National University
Master of Arts Mathematics, Master of Arts Mathematics at San Diego State University
Certificate Data Science and Machine Learning, Certificate Data Science and Machine Learning at Metis