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David BoukaryDB

David Boukary

Supermalter

Senior Data Engineer/Scientist

€600/day
2 projects
Ivry-sur-Seine, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About David

Big Data specialist engineer, with 3 years of experience, I am at your disposal for any data analysis and data science project. My expertise covers the following areas:

- Collection from any type of environment and with the most common languages (flat files and databases with SQL, data lake with spark, web with Python)

- Data exploration and preparation with Python and its dedicated libraries (pandas, numpy)

- Modeling with usual machine learning algorithms (linear and logistic regression, KNN, decision trees, random forests with scikit-learn) and more advanced ones (neural networks with tensorflow/keras)

- Model evaluation with usual techniques (confusion matrix, log loss, least squares method)

- Notions on SOAs (REST API) and the Hadoop ecosystem (HDFS, YARN, Hive, Hbase, Kafka) and Spark

- Data governance (knowledge of GDPR, dissemination of good usage practices, metadata modeling, definition of quality tracing indicators)

- Project management using Agile methodology (SAFe framework)


  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Ivry-sur-Seine (up to 50km)

Experience

  • Air France
    Data analyst/scientist
    TRANSPORTATION
    September 2019 - December 2022 (3 years and 4 months)
    Roissy-en-France, France
    Within the Customer Data Management unit of the Commercial department, data scientist/analyst missions for various internal clients. Projects carried out using agile methodology:
    - Prediction of revenues generated by the company's physical agencies with a view to their potential closure. Deliverables: data analysis with Pandas, machine learning model (linear regression) coded in Python (scikit-learn)
    - Prediction of the profitability of rental, a clothing and accessories rental service in airports. Deliverables: data analysis with Pandas, machine learning model (logistic regression) coded in Python (scikit-learn)
    - Monitoring of transactional data quality on the data lake. Deliverable: Python script for Spark to query, format, and analyze files stored on Hadoop HDFS
    - Verification of transactional data quality on the Vantage analytical platform. Deliverable: SQL queries
    - Documentation of reference data. Deliverables: business glossaries, GDPR code of conduct, data model
    Agile methodology Pandas Data science Machine learning Python Spark Data Lake GDPR
  • Air France
    V.I.E Pricing and Business Intelligence Analyst
    TRANSPORTATION
    January 2018 - June 2019 (1 year and 6 months)
    Atlanta, United States
    Within the joint venture with Delta, pricing analysis and business intelligence mission for the United States to Africa, Middle East, and Asia scope.
    3300 origin-destination combinations, annual turnover: $800 million
    - Data collection with SAP Business Objects
    - Development of decision support tools to improve the profitability of the joint venture. Deliverables: Microsoft Excel tool (VBA) for task prioritization, optimal price prediction model considering strategy and competition based on machine learning (clustering, linear regression)
    - Performance monitoring. Deliverables: Microsoft Excel dashboards
    - Relationship management with the subcontractor based in India. Deliverables: documentation of procedures and tools created with Microsoft Office

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Education

  • Engineer
    Télécom Bretagne
    2015
    Réseaux, Informatique, Mathématiques et Traitement du Signal

Certifications

Skill set (25)

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