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Simon BenhamouSB

Simon Benhamou

Data scientist senior

Sur demande
1 projet
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Simon

Je mène depuis 7 ans des projets techniques depuis la phase de formulation du problème jusqu'à l'industrialisation des algorithmes développés, en passant par la R&D. Je peux vous accompagner sur les problématiques suivantes:

  • Traduction des besoins business en problèmes de mathématiques appliquées
  • Expertise en traitement de données, machine learning, deep learning et en statistiques (fréquentiste ou bayesienne)
  • Encadrement technique de data scientists
  • Mise en production d'algorithmes
  • Anglais

    Capacité professionnelle complète

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Calibra
    Freelance machine learning engineer
    INTERNET DES OBJETS
    septembre 2020 - Aujourd'hui (5 ans et 9 mois)
    Paris, France
    Large language models (LLM) training, finetuning and serving for translation, rephrasing, spellchecking for a web application with millions of daily users
    Designed LLM-based evaluation methodologies involving iterative alignment with linguists
    Led a team of 5 engineers to build LLM training pipelines on flexible infrastructure via kubeflow
    Building LLM for chess move analysis: evaluation methodology, corpus collection, synthetic data generation, finetuning from open source pretrained models
    Researched and deployed state of the art algorithms to build cybersecurity user-based detection techniques (unsupervised decision trees, deep learning, graph techniques)
    Built and optimized a real time prediction engine for newsletter advertiser selection, for 10M impressions per day
    Shorter missions: bayesian modeling of google shopping ads, unsupervised bank clients profiling, built a facial landmark aging algorithm for to help nose surgery, taught a Spark course for master students
    Anomaly Detection Machine learning Cybersécurité LLM NLP Optimisation
  • Keymantics
    Head of Data Science
    PRESSE & MÉDIAS
    septembre 2017 - août 2020 (3 ans)
    Paris, France
    • Worked closely with the product and dev teams to build a successful media buying solution from scratch
    • Recruited, managed and provided technical mentorship to data scientists
    • Researched and coordinated efforts to deploy real time bidding algorithms with volume and latency constraints (40k predictions/second, 5ms latency)
    • Researched and deployed semantic embeddings for keyword suggestion and reach estimation
    Management d'équipe Python Scala Spark ETL Machine learning NLP
  • MFG Labs
    Data scientist
    CONSEIL & AUDIT
    février 2014 - juillet 2017 (3 ans et 6 mois)
    Paris, France
    • Data driven cross-country media optimization (offline and online) for an automotive company
    • Hotel meta-search (tripadvisor, trivago) bidding automation & optimization for a leading travel agency
    • Designed a recommender system for newsletter personalization of 10M users, driving a 20% sales increase
    • Research and development of algorithms for real time bidding algorithms
    • Study of log-level site-centric data to evaluate display campaign impacts andtarget segmentation
    • Quantitative analysis of Facebook likes for media buying optimization: large scale clustering, affinity prediction under reach constraint
    • Built a web application to predict real estate prices in France

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Formations

  • Master Degree in Statistics, Probability and Finance (Master Modélisation Aléatoire, Université Paris 7)
    Université Paris 7
    2012
  • Ingénieur économiste
    ENSAE
    2012

Compétences

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