Summary
Ashley Adrias is a Senior Data Scientist based in San Francisco with nine years of experience building cloud-native analytics and ML solutions across manufacturing, payments, and cloud infrastructure. She has driven end-to-end projects from data engineering and NLP to production ML and AWS architecture, including an internal intelligent search app and Manufacturing 4.0 analytics platforms. Her background blends mechanical and electrical engineering (Waterloo, Purdue, INSA Lyon) with focused nanodegrees in ML, NLP, and data engineering, enabling her to translate complex physical processes into data-driven products. She has held roles at KLA, Visa, AWS, and Athena, bringing both hands-on implementation and cross-functional program leadership to new product launches. Notably, Ashley pairs deep domain experience in manufacturing process optimization with cloud-first deployment patterns, making her adept at scaling models into operational systems.
9 years of coding experience
6 years of employment as a software developer
Data Structures and Algorithms, Data Structures and Algorithms at Udacity
Master's degree Electrical & Computer Engineering, Master's degree Electrical & Computer Engineering at Purdue University
Genie Mechanique Conception, Genie Mechanique Conception at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Bachelor of Engineering - BSc Mechanical Engineering, Bachelor of Engineering - BSc Mechanical Engineering at University of Waterloo
French, English