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The Data Science and Machine Learning team at causaLens focuses on developing and enhancing Causal AI methodologies to empower users in making informed decisions. This multidisciplinary team leverages advanced statistical techniques and machine learning algorithms to build robust, user-friendly tools that facilitate causal analysis, ensuring organizations can derive actionable insights from their data. By collaborating closely with other teams, they drive innovation and application of causal reasoning in various domains, championing the integration of cutting-edge technology into everyday business practices.