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CV Data Analyst
Seka Cyr Alain Jaures

Data Analyst

  • LE PETIT-QUEVILLY
Excel SQL Microsoft Power BI Python Data SQL Server BI Azure Google Cloud Platform Git
CV Data Analyst
Ella

Data Analyst

  • ROUEN
SQL Python Microsoft Power BI Data Git Jira Excel VBA MariaDB
CV Data Scientist / Machine Learning engineer / GEN IA
Mohamed

Data Scientist / Machine Learning engineer / GEN IA

  • LE HAVRE
Python Data Science Supervised Learning Unsupervised Learning Deep Learning GPT Augmentation de Données Cloud AWS
CV Data Analyst DATA
Estelle

Data Analyst DATA

  • ROUEN
SQL Data Python SQL Server Apache Hadoop Apache Spark Informatica
CV Data Scientist PYTHON
Xavier

Data Scientist PYTHON

  • LE HAVRE
Python JavaScript AngularJS Jupyter Node.js React.js AWS Lambda
CV Ingénieur INSA Rouen Informatique & Technologies de L'Information
Roman

Ingénieur INSA Rouen Informatique & Technologies de L'Information

  • ROUEN
Python Data SQL Java C JavaScript PHP C# HTML
CV Data Scientist PYTHON
Mattias

Data Scientist PYTHON

  • LE HAVRE
Java PHP Data Python SQL
CV Expert Excel - Développeur VBA
Hicham

Expert Excel - Développeur VBA

  • LE HAVRE
VBA Excel Microsoft Power Query Visual Basic Data
CV Ingénieur système PYTHON
Louen

Ingénieur système PYTHON

  • ROUEN
Python CATIA SolidWorks MATLAB Mathematica
CV Ingénieur de production LINUX
Bakary Seydou

Ingénieur de production LINUX

  • LE HAVRE
Linux Jira SQL VMware Agile JAHIA Python Dollar Universe Tomcat DevOps
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Exemple de missions d'Alexandre,
Data Scientist freelance

  • DATA SPECIALIST - FREELANCER

    THRIAE |Toulon, FRANCE
    Jan 2022 - aujourd'hui

    Being a Jack of all trades, master of some, I am involved in many different data solution projects. From
    data engineering to data science problems, I make sure to listen properly in orderto understand and
    assist my partners in developing their dream solutions.
    During my last project, I led a team of data scientists and developed a Hijack panic button model
    classifierfor a vehicle tracking system company. Due to the speed requirements, we had to deploy our
    ML model using Spark and Kafka Streaming.

  • PRINCIPAL DATA SCIENTIST - DATA & ML ENGINEER

    PRAELEXIS | Cape Town, SOUTH AFRICA
    Jan 2018 - Jan 2022

    • As a Principal Data Scientist and ML Engineer, I led a team of data scientists during many projects.
    This included the development and deployment of a state-of-the-art FNOL (First Loss of
    Notification) classification model for a leading vehicle tracking system company. My goal was dual:
    ensuring that the client’s needs were addressed by aligning the business requirements with the
    technical agenda, in addition to guiding the team, designing and implementing the solution.
    • As a Data Engineer, I was involved with the Client Profile team of a leading South African bank.
    Deployed an elastic Airflow clusterfrom scratch using Kubernetes and implemented new
    workflows into theirinfrastructure. Itreduced cloud expenses and improved past performances.
    In addition, we migrated their massive-scale data engineering and collaborative data science
    platform from Azure HDInsight to Databricks. The design of the solution used advanced
    technologies such as Docker, Kubernetes, Airflow and Spark. Another project dealt with the
    development of a streaming platform using Kafka and Spark Structured Streaming for an online
    betting company.
    • As a Senior Data Scientist, I collaborated with the credit-granting department of a large South
    African bank. We implemented Deep Learning models to automate credit labeling in orderto help
    branch managers speed up the process of granting credits. This allowed the bank to drastically
    reduce the cost of granting credit. In conjunction, we also developed a Migration model
    (recalculates the probability of defaulting 6 months afterthe client has been granted the credit)
    and an online credit automation system.

  • DATA SCIENTIST

    VASTECH | Cape Town, SOUTH AFRICA
    Jan 2016 - Jan 2018

    As a Data Scientist, I contributed to the development of a threat detection platform for governmental
    entities, based on a Sentiment Analysis model. Using large amounts of text data (SMS and emails), this
    model leveraged advanced NLP techniques such as pre-trained word vectors, CNN and RNN algorithms.

  • JUNIOR DATA SCIENTIST

    AEGYS | Toulouse, FRANCE
    Jan 2016 - Jan 2016

    As a Junior Data Scientist consultant for Airbus Group in the supply chain department, I have developed
    an ML model which predicted whether or not a future delivered product will arrive late or deficient.

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