Nada Najari is a results-driven Lead Data Engineer and Data Scientist with a robust academic foundation and hands-on experience in data modeling for industry and services. In the role of Data Science Intern at Infor, Nada developed a GAN model for generating synthetic time series data, applying it to retail scenarios while also creating a classification approach to enhance model performance. Previously, Nada contributed to projects involving emotion classification and anomaly detection during internships at dB.Sense and Groupe SFM. Currently, Nada is engaged as a Lead Data Engineer and Data Scientist at FORVIA, tasked with transforming raw data into actionable insights and developing AI solutions to drive business growth. Nada holds education from Université Paris Cité.
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