Mounir MAHDADE

Climate Data Scientist at HD Rain
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Contact Information
us****@****om
(386) 825-5501
Location
Paris, Île-de-France, France, FR
Languages
  • Français Native or bilingual proficiency
  • Arabe Native or bilingual proficiency
  • Anglais Professional working proficiency
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Credentials

  • Applied Data Science Capstone
    Coursera
    Nov, 2022
    - Sep, 2024
  • Data Science Professional Certificate
    Coursera
    Nov, 2022
    - Sep, 2024
  • Data Analysis with Python
    Coursera
    Oct, 2022
    - Sep, 2024
  • Data Science Methodology
    Coursera
    Oct, 2022
    - Sep, 2024
  • Data Science Orientation
    Coursera
    Oct, 2022
    - Sep, 2024
  • Data Visualization with Python
    Coursera
    Oct, 2022
    - Sep, 2024
  • Databases and SQL for Data Science
    Coursera
    Oct, 2022
    - Sep, 2024
  • Machine Learning with Python
    Coursera
    Oct, 2022
    - Sep, 2024
  • Python Project for Data Science
    Coursera
    Oct, 2022
    - Sep, 2024
  • Python for Data Science and AI
    Coursera
    Oct, 2022
    - Sep, 2024
  • Tools for Data Science
    Coursera
    Oct, 2022
    - Sep, 2024

Experience

  • HD Rain
    • France
    • Environmental Services
    • 1 - 100 Employee
    • Climate Data Scientist
      • Jan 2023 - Present

      𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 - Satellite data processing and manipulation (e.g., Meteosat) and Météo France data (e.g., Radar) using Python (xarray, satpy, rasterio, cartopy, etc.). - Handling various data formats: netcdf, hdf5, nat, geotiff. - Retrieval, reprojection, resampling, and area extraction of maps. - Comparative analysis of rainfall between satellite and radar data. - Satellite data parallax correction. 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 - Created training dataset for a Deep Learning rain detection model (using MSG SEVIRI, NWC SAF, H-SAF satellite data). - Utilized U-NET model architecture, Tensorflow, CNN for rain detection. - Memory management and data augmentation. - Segmentation model (rain/non-rain), multi-class rain classification, rainfall intensity estimation. - Optimization of Deep Learning models. 𝐇𝐃 𝐑𝐚𝐢𝐧 𝐒𝐞𝐧𝐬𝐨𝐫 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬 - Typology of anomaly-related station problems. - Developed statistical model for automatic anomaly detection of stations. - Labeling, result validation, and tool implementation. - Created and modified Google Sheets via API. 𝐄𝐓𝐏 𝐂𝐚𝐥𝐜𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥 - Developed tool for daily and hourly Potential Evapotranspiration (ETP) calculation using temperature and humidity data from HD Rain sensors. 𝐃𝐚𝐭𝐚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 - Certified meteorological data through data import, reference data search, and data analysis. - Implemented automatic web application using Streamlit in Python for data analysis. Show less

  • CNES
    • Spain
    • Construction
    • Researcher Phd Candidate
      • Dec 2018 - Aug 2022

      • Analysis of Remote Sensing, Time Series, and Spatial Series data • Extraction of rivers morphological patterns using mathematical algorithms (signal processing) • Construction of a 3D topography of the 40 km of the Garonne river • Numerical simulation with HPC of river floods on the Garonne river using Basilisk solver • Creation of a periodic inverse model to predict river discharges using only remote sensing data (ex: SWOT mission) • Assistant lecturer for 3 years • 2 papers published in peer-reviewed journals with high Impact Factor Show less

  • Sorbonne Université
    • France
    • Biotechnology Research
    • 1 - 100 Employee
    • Hydraulic Engineer
      • Sep 2017 - Nov 2018

      - Optimization/enhancement of the 1D modeling code developed during the internship.- Development of a theoretical/mathematical approach for 2D hydraulic modeling in meandering rivers using conformal mapping techniques.- Publishing a research article and presenting two international conference presentations.

    • Hydrology/Hydraulics Researcher
      • Feb 2017 - Aug 2017

      - Analysis of morphological data of rivers in France using signal processing tools.- Development of a theoretical 1D periodic geometric model to capture the longitudinal morphological variability of rivers.- Conducting numerical simulations involving the solution of the Saint-Venant equations for these river reaches using the periodic approach, followed by a comparison with the uniform approach.=> Promising results closely resembling reality achieved with the periodic approach compared to the uniform approach. Show less

  • Collectif Toits pour le Sud
    • Flood engineer - Internship
      • Aug 2015 - Sep 2015

      - Analysis of the impact of climate change on all Moroccan regions and in particular on the city of Tiznit, and their effect on the evolution of extreme events (inodations, droughts, etc.). - Diagnosis of the particular situation of the city of Tiznit and analysis of the damages of the 2014 floods. - Proposal of recommendations concerning the laws and principles of urban renewal in flood areas (Report: https://ma.boell.org/sites/default/files/uploads/2016/06/160613_rapport_des_toits_pour_le_sud.pdf ). Show less

Education

  • Coursera
    IBM Data Science Professional Certificate, Data Science
    2022 - 2022
  • Sorbonne University
    Doctorat, Geoscience | Data Science | numerical modelling
    2018 - 2022
  • Pierre et Marie Curie University
    Master 2, Continental Environments and Hydrosciences
    2016 - 2017
  • Ecole Hassania des Travaux Publics
    Engineering degree
    2013 - 2016
  • Lycée Amir Moulay Abdellah Safi
    CPGE-MP
    2011 - 2013

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