Technical expert at Pernod Ricard with dual expertise as a data engineer and data scientist within a project involving 60 worldwide collaborators aimed at optimizing marketing performance.
Environment: Azure, Python, PyStan, Streamlit, PyTorch
Samsung propensity customer scoring - PII and integrated models (XGBoost)
Environment: PySpark, Databricks
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