Mai La is a Senior Data Scientist based in California who blends over a decade of engineering and product leadership experience with formal training in data science from UC Berkeley. She transitioned from field and product roles in drilling and downhole technologies at NOV and Schlumberger into data engineering and MLOps, now leading data-driven solutions at NOV. Her background uniquely combines domain expertise in oilfield systems with hands-on experience deploying machine learning and production data pipelines. As a former teaching assistant at UC Berkeley, she pairs practical industry practice with academic rigor and mentorship. Known for translating complex physical engineering problems into scalable analytical products, she often bridges teams across engineering, product, and data.
4 years of coding experience
11 years of employment as a software developer
Master of Information and Data Science, Master of Information and Data Science at University of California, Berkeley
Bachelor of Engineering, Bachelor of Engineering at Ho Chi Minh City University of Technology
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