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
Freelance seeking opportunities as a Data Scientist/Data Engineer, preferably within the industries of manufacturing, energy, or pharmaceuticals, yet open to other sectors. Passionate about programming and software architecture, I bring extensive experience in these domains and am driven by the industrialization and deployment of solutions in production.
Previously, I've worked as an IT-quant in the trading floor of BNPP and as a data scientist/machine learning engineer for the marketing departments of Samsung and Pernod Ricard.
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