Moulay-Zaidane Draidia

Moulay-Zaidane Draidia has a diverse work experience spanning multiple industries. They started their career as a Teaching Assistant at the University of California, Berkeley in 2016, and concurrently worked as a Teaching Assistant for the UC Berkeley College of Engineering. In 2017, Draidia joined Deloitte Digital as an Analyst for a short period of time.

Draidia then transitioned into the field of AI research, working as an AI Researcher at IBM Research in 2018. In 2019, they became a Machine Learning Engineer at Suki, where they worked until 2020. During this time, Draidia also took on the role of Statistician at Alamana Microfinance Maroc.

In 2021, Draidia joined Columbia University in the City of New York as a Machine Learning Researcher. They also recently started working as a Data Scientist at Laurel (previously Time by Ping). Overall, Draidia's work experience showcases a strong background in research, teaching, and applying machine learning techniques across various industries.

Moulay-Zaidane Draidia pursued their education in a chronological order, starting with their high school studies at LYCEE FRANCAIS DE SINGAPOUR from 2009 to 2015. There, they obtained a French Baccalaureate with a scientific stream, focusing on mathematics. Following their high school education, they attended the University of California, Berkeley from 2015 to 2019, where they obtained a Bachelor's Degree in Economics and Data Science. Finally, from 2020 to 2022, Moulay-Zaidane Draidia attended Columbia University and completed a Master of Science (MS) degree in Data Science.