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About Mohamed

Data Scientist & MLOps Engineer, also Senior Embedded Software Engineer, I help companies transform their data into operational value.

With 9 years of experience in software development, embedded systems, and data solutions industrialization, I work on the entire project lifecycle: data exploration, modeling, building MLOps pipelines, deployment, monitoring, and automation.

My goal: to provide reliable, scalable, and immediately useful solutions to business teams.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Freelance : https://merahmohamed.wixsite.com/datafreelancepro
    Data Science & MLOps
    October 2024 - Today (1 year and 9 months)
    🔬Freelance – Data Science & MLOps:

    Objective:Develop and practice my data science skills autonomously by carrying out projects in various fields and analyzing different types of data (time series, structured, unstructured, and heterogeneous) to design relevant solutions tailored to business needs.

    Activities performed:
    • Needs analysis and project scoping
    • Collection, cleaning, and preparation of structured and unstructured data
    • Exploration and visualization to extract relevant insights
    • Modeling with machine learning and deep learning algorithms
    • Creation of interactive dashboards with Streamlit
    • Deployment of solutions on the cloud (AWS, Azure) with Docker and GitHub
    • Model monitoring (drift, performance, data quality) with Evidently, MLflow
    • Automation of pipelines (training, scoring, monitoring) with Airflow / GitHub Actions

    Technical environment:

    • Languages & tools: Python (Jupyter Notebook, Google Colab), SQL (SQLite)
    • ML & Deep Learning: scikit-learn, TensorFlow, MLflow
    • Deployment & APIs: FastAPI, Docker, Azure, AWS
    • Visualization: Streamlit
    • Monitoring & Observability: Evidently, MLflow Tracking
    • Automation & Orchestration: Airflow, GitHub Actions
  • OpenClassRooms : https://github.com/MohamedM94/Formation_Expert_en_data_scientist_OpenClassrooms
    Data Scientist
    July 2023 - August 2024 (1 year and 1 month)
    Projects completed:

    Project 1: Analysis of educational systems:Identify countries with high potential for establishing a distance learning company.

    *Skills:Python, structured data, exploration, and visualization.

    Project 2: Data preparation for a public health organization:Propose a food-related application to verify the compliance of food products.

    *Skills:SQL, Python, supervised learning.

    Project 3: Prediction of building energy consumption:Predict GHG emissions and electricity consumption in Seattle.

    *Skills:SQL, Python, supervised learning.

    Project 4: E-commerce customer segmentation:Identify and describe customer groups for an online company.

    *Skills:SQL, Python, clustering (unsupervised).

    P**roject 5: Automatic classification of consumer goods:** Segment products based on textual descriptions and images.

    *Skills:NLP, computer vision, deep learning, unstructured data.

    Project 6: Credit scoring and model deployment:Predict a customer's repayment capacity, deploy the model as an API, and create a cloud dashboard.
    • Skills:Python, FastAPI, Streamlit, Azure, MLflow, Docker, GitHub.
    Project 7: Explanatory dashboard for account managers:Create an interactive tool to explain credit granting decisions.
    • Skills:Streamlit, Azure, Docker, supervised learning.
    Project 8: Big Data processing on AWS:Extract image features in a Big Data environment.

    *Skills:AWS (S3, EC2, EMR, IAM), TensorFlow, Spark, deep learning, transfer learning.
  • ALSTOM
    Embedded Software Development Consultant
    March 2017 - May 2021 (4 years and 2 months)
    Lille, France
    • Objective: Development of an iOS application to remotely control embedded systems, by connecting an iPhone mobile to an Arduino Nano 33 BLE board via Bluetooth Low Energy.
    Tasks performed:

    *Functional analysis:Definition and study of the technical requirements of the controlled system.

    *Embedded and mobile programming:

    o Embedded coding in Arduino language (C) on the Nano 33 BLE board.
    o Development of the iPhone application in Swift with Xcode to control the board via BLE.

    *Testing and validation:

    o Verification of communication between iPhone and Arduino.
    o Unit and system tests to ensure the reliability of remote commands.

    *Technical documentation:Writing technical reports to ensure project traceability.

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Education

  • Expert in Data Scientist Level 7 (Master's Degree)
    OpenClassrooms
    2024
    Expert en Data Scientist Niveau 7 (Bac+5)
  • Master's Degree in
    Université Paris Sud 11 and ENS Cachan
    2009
    Master en

Skill set

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