Zainab Akinjobi
About Zainab Akinjobi
Zainab Akinjobi is an Artificial Intelligence Intern with expertise in analyzing complex datasets and developing machine learning algorithms. She has previously worked at Google and currently holds positions at AI4ALL and New Mexico State University.
Work at AI4ALL
Zainab Akinjobi has been serving as an Artificial Intelligence Intern at AI4ALL since 2022. In this role, she focuses on developing innovative algorithms and machine learning pipelines. Her work involves analyzing large multi-dimensional datasets, contributing to the organization's mission of promoting AI education and outreach.
Experience at Google
In 2022, Zainab Akinjobi participated in the Google CS Research Mentorship Program as a Scholar. This three-month program took place in Mountain View, California, where she gained experience in computer science research. Her involvement allowed her to enhance her skills in data analysis and research methodologies.
Education and Expertise
Zainab Akinjobi is currently an Applied Statistics Graduate Student Researcher at New Mexico State University, a position she has held since 2021. She possesses methodological training and deep expertise in analyzing complex datasets for real-world applications. Her background includes extensive experience in experimentation and building statistical models.
Data Quality Assurance
In her roles, Zainab Akinjobi ensures that data quality is maintained throughout all stages of acquisition, processing, and modeling. This focus on data integrity is crucial for the successful analysis and interpretation of datasets, supporting the overall objectives of her projects.
Algorithm Development
Zainab Akinjobi is involved in developing novel end-to-end algorithms aimed at enhancing data analysis processes. Her work in creating machine learning pipelines is essential for effectively handling and interpreting large datasets, showcasing her technical skills in the field of artificial intelligence.