Saima Absar
Data Scientist Chevron Phillips Chemical CompanyData Scientist with a PhD in Computer Engineering specializing in causal inference, deep learning, and time-series modeling. Experienced in designing state-of-the-art neural architectures and end-to-end ML pipelines, including real-time MLOps systems in Databricks, MLflow, and Seeq. Over five years of experience developing high-impact regression, classification, and forecasting models, translating research innovation into industrial-scale solutions and peer-reviewed publications.
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