Abdelaziz Testas

Operations Associate

Fremont, California, United States13 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Over a decade of experience in data science and analysis.
  • Authored two books on machine learning and deep learning.
  • Led significant projects enhancing audience measurement capabilities.
Stackforce AI infers this person is a Data Science expert with a focus on healthcare analytics and machine learning solutions.

Contact

Skills

Core Skills

Data AnalysisData ScienceMachine Learning

Other Skills

Amazon RedshiftSQLApache AirflowPython (Programming Language)Oracle DatabaseDataGripAWSPostgreSQLjupyterlabdatabricksMicrosoft SQL ServerSpotfireJavaProject ManagementStatistics

About

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)

Experience

13 yrs 6 mos
Total Experience
11 yrs 9 mos
Average Tenure
1 yr 9 mos
Current Experience

California department of health care access and information

Research Data Specialist

Aug 2024Present · 1 yr 9 mos · Sacramento, California, United States · Hybrid

Amazon RedshiftSQLData AnalysisData Science

Nielsen

3 roles

Lead Data Scientist

Promoted

May 2022Jan 2023 · 8 mos · San Francisco Bay Area

Apache AirflowPython (Programming Language)Machine LearningData Science

Senior Data Scientist

Promoted

Jul 2014May 2022 · 7 yrs 10 mos · San Francisco Bay Area

Apache AirflowPython (Programming Language)Machine LearningData Science

Data Scientist

Apr 2011Jul 2014 · 3 yrs 3 mos · San Francisco Bay Area

Python (Programming Language)Oracle DatabaseData ScienceData Analysis

Robert half technology

Data Analyst

Jul 2008Apr 2011 · 2 yrs 9 mos · San Francisco Bay Area

Python (Programming Language)SQLData AnalysisData Science

Education

University of Glasgow

Master's degree — Economics

University of Leeds

Doctor of Philosophy - PhD — Economics

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