About me

My name is Adel, and i have a strong passion for data science and statistics. I find the intersection of data analysis and problem-solving fascinating, and i am excited to apply my skills and knowledge to real-world scenarios. With a background in engineering and big data, I have developed a diverse set of skills, including SQL, Python, statistics, Power bi, Tableau, scikit-learn, Pandas, and NumPy.

  • Data Analysis icon

    Data Analysis

    Cleaning, exploring, and visualizing datasets using Python. Building interactive dashboards with Plotly, Seaborn and Tableau.

  • Machine learning icon

    Machine learning

    High-quality development of sites at the professional level.

  • Data pipelines

    Data Pipelines

    Building ETL workflows with Apache Airflow. Experience with SQL databases (PostgreSQL) and NoSQL (MongoDB).

  • Project gif

    Data science projects

    Competing in Kaggle challenges while developing academic and personal projects, applying machine learning to solve real-world problems across diverse domains

Technical Skills

python--v1 Python
sql SQL
pandas Pandas
numpy NumPy
Scikit-learn Scikit-learn
Seaborn Seaborn
matplotlib Matplotlib
tensorflow Tensorflow
keras Keras
mysql-logo MySQL
git Git
docker Docker
power-bi-2021 Power Bi
python--v1 Python
sql SQL
pandas Pandas
numpy NumPy
Scikit-learn Scikit-learn
Seaborn Seaborn
matplotlib Matplotlib
tensorflow Tensorflow
keras Keras
mysql-logo MySQL
git Git
docker Docker
power-bi-2021 Power Bi

Resume

Group Academic Projects

  1. PROJECT RFID AND AI LOCALIZATION

    NOV 2022 - FEB 2023
    • Develop a system that can accurately track and locate RFID-tagged objects in real-time using AI-powered algorithms
    • Conduct multiple tests and simulations to verify the accuracy of the Machine Learning and Deep Learning algorithms
    • Collect and structure RFID data in real-time, improving the current system's performance
    • Design and develop an intuitive and user-friendly data visualization interface

  2. PROJECT RFID AND MACHINE LEARNING

    APRIL 2022 - MAY 2022
    • Data processing and development of predictive models.
    • Realization of a GUI to launch the treatments and to parameterize the predictive models.
    • Connecting Database/C#/Python.
    • Compare the results between the models.

Work Experience

  1. INTERNSHIP - PYTHON DEVELOPER | RESAAM

    JUL 2022 - AUG 2022 (2 monhts)
    • Develop and test algorithms to improve health transportation.
    • Design and develop a dashboard on streamlit.
    • Ensure the management, processing and analysis of data models
    • Participate in the implementation of automation processes.
    • Integrate a team of dynamic developers and experts on the subject

  2. INTERNSHIP - AGENT DIB | SYNDICAT AZUR

    02 August 2021 - 31 August 2021
    • Complete administrative documents for the preparation and organization of deliveries.
    • Make deliveries for companies and individuals in 3 major cities

Education

  1. Engineering degree (Big data), ESIGELEC, Rouen

    2020 - 2024

  2. Preparatory class PCSI/PSI, lycée Jacques Decour, Paris.

    2016 - 2019

  3. Scientific baccalaureate, Lycée Jean JAURES, Argenteuil.

    2013 - 2016

Portfolio

Contact

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