À propos de Sami
Je suis passionné par la Data Science avec une très bonne connaissance des aspects théoriques en Machine Learning.
J'ai plus de 8 ans d'expérience en Banque mais je suis également intéressé par d'autres secteurs.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris 16e Arrondissement (jusqu’à 50 km)
Expériences
- CryptAICo-Founder & CEOEDITION DE LOGICIELSseptembre 2019 - Aujourd'hui (6 ans et 9 mois)Paris, France• CryptAI is a start-up specialized in artificial intelligence and cryptography • We provide our clients with solutions for collaborative artificial intelligence without the need to reveal their sensitive data, allowing them to obtain the result of a common function on their private inputs, without disclosing information about their data during the computation
- Société GénéraleMarket Risk Manager on Exotic Rates DerivativesBANQUE & ASSURANCESjuin 2011 - juillet 2018 (7 ans et 1 mois)Paris, France• Follow up and review of European trading desks activities and market expertise on regulatory topics • Assessment and validation of market risk, including analysis of new financial deals and structures • Definition and update of Market Risk analysis methodologies and associated limits • Pricing of Exotic and Hybrid options • Participation to projects with pension funds and insurance companies • Interactions with top management, regulators and auditors
- Headlink PartnersManagement and Strategy ConsultantCONSEIL & AUDITdécembre 2010 - mai 2011 (5 mois)Paris, France• Mission to improve the anti-money laundering system of an insurance company • Mission to set up the market making bond activity in an investment bank
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Formations
- Post-Master’s DegreeTélécom ParisTech2019• Advanced Machine Learning Algorithms (KNN, SVM, Random Forests, Boosting, Neural Network, CNN, RNN, LSTM, Graphs, k-means, Gaussian mixture model, Hierarchical Clustering, DBSCAN) • Deep Learning frameworks (Tensorflow, Keras, Pytorch) • Data mining, analytics, and statistics, data transformation and visualization (Python, Numpy, Pandas, Scikit-learn, Scipy) • Data mining: crawlers (beautiful soup), (Flask, Django) • Distributed Ecosystems: Hadoop & Spark frameworks (HDFS, Map Reduce, Hive, Pyspark) • Databases: SQL, NoSQL, Graphs (Cassandra, MongoDB, PostgreSQL, Neo4j) • Cloud Computing: Aws, Google AI cloud • Research project with JCDecaux to improve the advertisement performances by making billboards sufficiently intelligent to adapt their contents in real time, based on the instant audience characterized by Gender, Age and Socio-Economic Status
- Master of Science - MSÉcole Polytechnique2008• Stochastic Models in Finance, Random walk, Micro and Macro Economics, Statistics, Game theory, Computer Science • Project on pricing american options by Monte-Carlo methods