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Kayla (Khaoula) Ilaje
Data Scientist Lead,
Johnson & Johnson
Kayla Ilaje is a Lead Data Scientist with over 12 years of deep expertise in machine learning and statistical methodology. She designs rigorous analytics frameworks—from experimental design and causal inference to predictive modeling and time-series forecasting—that drive consumer insights, digital-marketing optimization, and media performance improvements. A recognized specialist in Generative AI and Large Language Models, Kayla applies prompt strategies, model interpretability, and statistical validation to unlock business value and ensure responsible AI adoption.
Sessions
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10-Dec-2025Data Excellence StagePanel: The Custom Code Conundrum: Fine-Tuning vs. Starting from Scratch
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