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.
Played a pivotal technical role, addressing deadline delays or technical issues across diverse markets.
Orchestrated pipeline architecture and module communication for v2.
Executed v2 model implementation and deployment for the pilot market.
Conducted a Google Trend search volume-based POC for a related project.
Samsung propensity customer scoring - PII and integrated models (XGBoost).
Environment: PySpark, Databricks
Jun 2018 - Feb 2020
1 year 9 months
Front Office Quant in Resources and Financing Optimization team
BNP CIB GECD
Segregation Engine project for Prime Brokerage to optimally choose the clients' assets for rehypothecation project management, code architecture and implementation from scratch.
Automatization of pricing and booking of a set of collateral schedules.
Security management tools for SLAB desk.
BNP Portfolio Analysis Library - code refactoring and implementation of linear problem framework.
Collateral Management Bot - tool for finding the optimal collateral allocation - trainee supervisor.
Languages
Romanian
Native
English
Advanced
French
Advanced
German
Elementary
Education
Sep 2016 - Sep 2017
ENSAE ParisTech
Quantitative Finance and Risk Management · Paris, France
Sep 2013 - Sep 2016
Ecole Polytechnique
Paris, France
Sep 2011 - Sep 2013
Lycee Louis Le Grand
Paris, France
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