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Rami S.RS

Rami S.

Data scientist, actuary, Palantir developer

€950/day
Marseille, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Rami

With an academic background in data science and actuarial science, I am a data specialist, combining solid expertise in finance, insurance, and the aeronautical industry with a penchant for creativity and problem-solving. My training and experience have given me a unique perspective to analyze and interpret data in innovative ways.

My strength lies in my ability to identify and solve complex problems. I am known for my out-of-the-box thinking and my ability to develop unique and effective solutions. Furthermore, my ability to step back from situations gives me a global and strategic perspective that is often key to success in data-driven decision-making.

I am someone who adapts quickly and learns fast, which allows me to stay up-to-date with the latest trends and advances in the constantly evolving field of data science.

As a freelance data scientist, I am committed to transforming raw data into actionable insights, helping companies navigate the complex data landscape to drive their growth and success. My passion, dedication, and thirst for learning are the key to my added value as a data science professional.
Entrust me with your projects and I will help you maximize your return on investment, while transforming your data into valuable strategic assets.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Conversational

Can work on-site
Marseille (up to 50km), Lyon (up to 30km), Paris (up to 10km), Lille (up to 10km), Cannes (up to 10km)

Experience

  • Airbus Helicopters
    Data scientist
    AVIATION AND AEROSPACE
    August 2020 - February 2022 (1 year and 5 months)
    Vitrolles, France

    Responsible for the Digitalization Project of Quality Control for Helicopter Plans Data

    - Analysis and mapping of the existing quality control process, identification of the added value of each step and estimation of automation potential.
    - Development of a time series forecasting model (Holt Winters) to estimate the future volume of plans to be controlled, contributing to better resource allocation.
    - Proposal and implementation of an automation solution using an RPA robot coded in UiPath, thus ensuring increased efficiency and accuracy of the control process.
    - Supervision of the entire project and coding of the data quality testing part, ensuring the integrity and reliability of the information contained in the plans (OCR/ICR).
    - Creation of an automatic log file on the Skywise Palantir platform. From these logs, development of PySpark code to clean false positives. This was done by requesting manual operators via a Skywise form to verify the relevance of plan rejections by the robot.
    - Design of multiple visualizations and monitoring from this data, allowing for effective and real-time monitoring of the quality control process.
    - Achieved direct savings of over one million euros per year by reducing activity by more than 10 FTEs, thus maximizing operational efficiency.
    - Prevention of cascading contamination of the company's engineering data by identifying and resolving data quality issues upstream, avoiding potential additional costs of several million euros.
    Digital Project Management Agile Method Time Series RPA skywise palantir Big Data Apache Spark PySpark Python UiPath Data science
  • Alten
    Airbus data scientist consultant
    AVIATION AND AEROSPACE
    February 2022 - June 2023 (1 year and 5 months)
    Vitrolles, France
    I was recruited by Alten to become an Airbus consultant. I continue my previous work there, train new engineers, and develop Alten's data science business. Here are the new activities I have:
    - Apache Spark, Python, and Pyspark Developer
    - Palantir Skywise Developer
    - Skywise Palantir Trainer
    - Implementation of a tool that provides real-time storage policy recommendations for a product reference set. These two risks are modeled for safety stock prediction.


    - Image and Document Analysis Algorithm Developer:

    Design of an algorithm to scan folders to identify specific logos or textual content in images and documents, using advanced image cleaning techniques.
    Development of a feature to calculate the probability that a document matches what is being searched for, allowing for optimized management of misreferenced or mislabeled documents.

    - Skywise Project Manager at Airbus:
    Responsibility for the complete management of a project on the Skywise platform, including the supervision of all data flows, from ingestion to monitoring.
    Ensuring the smooth running of the project by continuously monitoring data status and resolving potential issues in a timely manner.
    OpenCV Tesseract Data ingestion Computer Vision Skywise
  • Sud Réa
    Data scientist
    REAL ESTATE
    January 2019 - June 2020 (1 year and 6 months)
    Marseille, France
    Python Developer in Computer Vision, and JavaScript:

    Design of an innovative algorithm capable of processing a photo containing multiple business cards, recognizing the orientation of each element, reading its content, and saving it in the appropriate category of a directory.
    Implementation of performance indicators such as F1 score, false positives, and false negatives to evaluate and improve the algorithm's accuracy.
    OCR Statistics

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Education

  • Actuary
    Université du Québec à Montréal (U.Q.A.M)
    2020
    Statistiques, data science, séries temporelles, probabilité, machine learning, processus stochastiques, finance de marché, assurance.

Skill set

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