Summary
Michelle Davies is a Senior Data Engineer with 10 years of experience building production data pipelines, BPM applications, and ML-ready infrastructure at IBM, currently pursuing a MIDS at UC Berkeley to pivot toward research on AI and human-centered automation. She combines deep ECE foundations from Cornell and MITx statistics training with hands-on expertise in Appian, IBM DataStage, Python, R, and TensorFlow to deliver secure, scalable ingestion and ETL solutions across healthcare, government, and education. Michelle is comfortable translating business needs into intuitive UIs for non-technical users and has a track record of optimizing pipeline performance and cost while ensuring data governance. Beyond enterprise delivery, she has led technical ops in broadcast engineering, contributed to pandemic response tooling, and facilitated large-scale diversity and inclusion workshops—an unusual blend of systems engineering, user-centered design, and community-focused leadership.
10 years of coding experience
4 years of employment as a software developer
Master's degree Information and Data Science (MIDS), Master's degree Information and Data Science (MIDS) at University of California, Berkeley
High School Diploma International Baccalaureate Diploma Program, High School Diploma International Baccalaureate Diploma Program at United Nations International School
Bachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Cornell Engineering
MITx MicroMasters program certificate Statistics and Data Science, MITx MicroMasters program certificate Statistics and Data Science at MITx Courses
Summer School Program (SSP) Physics, Summer School Program (SSP) Physics at Harvard University
Diploma Computer Science Economics and Mathematics, Diploma Computer Science Economics and Mathematics at International Baccalaureate
English, Spanish