Saima Absar
Login to view DISC.Saima Absar is a Data Scientist at Chevron Phillips Chemical Company with a Ph. D. in Computer Engineering from the University of Arkansas. She specializes in causal inference, deep learning, and time-series modeling, with experience building real-time MLOps systems using Databricks and MLflow for industrial applications.
She has published peer-reviewed papers on causal discovery and developed "Neural-HATS, " an innovative framework combining conditional independence testing and deep learning to uncover causal structures in time series data.
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