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Malt Strategy
Yassine GhouzamYG

Yassine Ghouzam

GCP Data/ML engineer - NLP

€650/day
Paris, FR
3-7 years
Python
Google cloud
Data science
Machine learning
Scikit-learn

Average response time: 1 hour

About Yassine

Après avoir obtenu mon PhD en Computational Biology, j’ai travaillé deux années à Quantmetry, leader français du conseil en Data science en tant que consultant Data Scientist confirmé. Aujourd’hui, je propose mes services afin de répondre à vos problématiques en data science / machine learning.

Durant mes différentes expériences, j'ai pu participer et relever de nombreuses challenges data passionnants pour des clients de secteurs variés (Groupe de presse, banque, assurance, santé, public) a différents phases de projet (Cadrage, POC, Pilote, Mise en production)

Je peux vous accompagner sur l’ensemble des étapes qui composent un projet de machine learning :

Cadrage :
- Définition business du projet (définition du besoin, ROI attendu) /Identification du cas d’usage
- Évaluation de la conception (qualité et disponibilité des données)
- Conception de la stratégie machine learning
POC (Proof of concept) / Mise en Pilote :
- Sélection et identification du cas d’usage pour répondre à la problématique (Analyse supervisée/non supervisée, classification/régression, clustering, détection d'anomalie, analyse de graphe, système de recommandation, etc)
- Acquisition des données (données internes, données publiques externes, web-scraping, APIs)
- Construction de la cible à modéliser en collaboration avec les experts métiers
- Visualisation de données
- Feature Engineering (création de features pertinentes, traitement de features catégoriques, etc.)
- Choix du/des modèle(s) et optimisation des hyper-paramètres
- Choix de metrics pertinentes et adapté aux métiers pour valider la performance des modèles
- Interprétabilité des modèles

Mise en production :
-Contrôle automatique de la qualité des données
-Gestion automatique du cycle de vie du modèle (dérives des données et des performances)
-Logging et reporting par email
-Planification de lancement du modèle

  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km), Paris (up to 10km)

Experience

  • Quantmetry
    Data Scientist Confirmé
    CONSULTING AND AUDITS
    October 2017 - June 2019 (1 year and 7 months)
    Paris, France
    Industrial
    Monitoring and prediction of supplier quality, automobile industry – Data Scientist
    • Business scoping and use case modeling of the project
    • Data preparation and cleaning
    • Statistical analysis and KPI definitions
    • Incident prediction model using Random Forest and ensembling models
    • Dashboarding and Visualization on Power Bi
    • Python, PowerBI, SQL Server - Agile Method

    Banking & Insurance
    Cloud deployment of multiples Churn prediction models in production– Tech lead Data Scientist & Project manager
    • Automatic input data quality check
    • Automatic model life cycle management (input data and performance shift)
    • Automatic logging and email notification reporting
    • Automatic scheduling and performance monitoring
    • Modeling and pipeline optimizations
    Python, Pandas, Dash, AWS Cloud, GitHub –Agile method

    Marketing
    Newsletters subscription score modeling and industrialization, Press Group – Tech lead Data Scientist & Project manager
    • Open/Click Log scrapping
    • Data preparation and cleaning
    • Statistical analysis and KPI definitions
    • Attrition target conception and definition
    • Prediction using ensembling models
    • Model life cycle management (performance)
    • On-premise deployment
    Python, Bash –Agile method

    Healthcare
    Natural Language Processing, content tagging extraction of tags in patient’s documents– Tech lead Data Scientist
    Development of a NLP methodology to analyze Healthcare Providers. (Automatic Content Analysis, Recommendation Algorithms, Clustering, Dimensionality Reduction, Deep Learning) – Tech lead Data Scientist
    Python, Bash, Pandas, Keras , Tensorflow , SpaCy, Gensim, Dash, Scikit-learn, GitHub

    Drug side effect clustering and prediction project (Diagnostic phase) – Tech lead Data Scientist & project manager
    Use case identification
    Practicability assessment
    Data sample quality check
    Technical strategies conception

    Internal and R&D projects:
    - Responsible of healthcare Vision :
    o Identification of new AI healthcare use cases (patient, medical & drug path)
    o Commercial structuration and organization of Quantmetry healthcare vision

    - Member of computer vision expert task force :
    o MaskR-CNN template code packaging for internal usage
    o Scientific literature monitoring

    - Kaggle competition (Data sicence Bowl 2018): nucleus detection from image of biological cells image segmentation models -> ranked at best top 10%. Keras , tensorflow , OpenCV , python

    - Hackathon (Hacking Health Camp 2019): Project Manager of ReCord team, Financial Project resources management, scheduling and Tech lead of ReCord IOT prototype.


    - Technical internal communication of Deep learning Image segmentation model technologies

    - Recruitment : 15+ corrected Technical tests and 10+ technical recruiting interviews

    - Business development : Call for tender

    Python TensorFlow keras Data science Machine learning Pandas Scikit-learn Cloud computing computer vision NLP Elasticsearch Statistics Big SQL

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Education

  • PhD Computational Biology
    Universtié Paris Diderot - Paris 7
    2016
    Computational biology for 3D protein structures prediction and analysis : - Development of new tools for protein structure prediction (ORION, ORION web-server) - Development of new tools for protein membrane orientation/assessment (ANVIL, MAIDEN, OREMPRO) - Study of protein structural features for protein structure prediction and protein features assignment - Protein structural organisation analysis - Molecular dynamics for protein structure analysis - Effect on alternative splicing on protein 3D structure Supervision of trainees : Maël Sigaroudi, 6 months internship (Master student) Pierre-Edouard Guerin, 3 months internship (Master student) Doha Naga, 3 months internship (Master student) Agathe Delaune, 1 month internship (Master student) Teaching assistant : 198 teaching hours for Master Students - Bioinformatics (sequence similarity analysis, sequence alignment algorithms, trees computation) - Biostatistics (Statistical tests, P-value computation ) - Programming (R, python and UNIX for beginners) - Master 2 projects jury board (x5) Acquired skills: - Strong teamwork collaboration - International scientific communication (oral and writing) - Protein structure expertise - Litterature mining - Big data managment - Machine learning - Statistical analysis - Data mining - Programmation skills - Web-design - Teaching competences - Student coaching, managment and supervising

Certifications

Skill set

Keras
TensorFlow
Deep Learning
Computer vision
Microsoft Power BI
Elasticsearch
Bash
SQL
Git
R
NLP
Data visualisation
Big Data
Pandas
Data mining
Matlab
Spark
Hadoop
GCP
Cloud computing
Statistics
Big

Categories