Abdelaziz Testas's Linkedin Analytics

Abdelaziz Testas, Ph.D., is a seasoned data scientist with over a decade of experience in data analysis and machine learning. He earned his Ph.D. in Business Economics from Leeds University in England and holds a Master’s degree in the same field from Glasgow University in Scotland. Additionally, he has acquired several certifications in computer science and data science. For more than 10 years, Abdelaziz served as a Data Scientist, Senior Data Scientist, and Lead Data Scientist at Nielsen, where he played a pivotal role in enhancing the company’s audience measurement capabilities. He was instrumental in planning, initiating, and executing end-to-end data science projects, and in developing methodologies that advanced Nielsen’s digital ad and content rating products. His expertise in media measurement and data science drove the creation of cutting-edge solutions. Recently, Abdelaziz transitioned to the public sector, joining the State of California's Department of Health Care Access and Information (HCAI). In his new role, he leverages his coding and data science leadership skills to make a meaningful impact, supporting HCAI’s mission to ensure quality, equitable, and affordable health care for all Californians. Abdelaziz is the author of two books: Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn (Apress, Nov 2023) Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models (Apress, Dec 2024)