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zia-foisal/README.md

Md Zia Uddin Foisal

| Humanitarian Response 🌍⛺ | Remote Sensing & GIS 🛰️🗺️ | Machine Learning and Deep Learning💡🧠 | Disaster and Climate Risk Analytics 🌊🏞️ | Biodiversity Conservation 🌱🐘 | Shelter Addressing 🤝🏠 |

👋 Hi, I'm Zia, a dedicated GIS, RS, and data professional with a passion for making a positive impact through humanitarian and environmental initiatives. My expertise lies in the intersection of Remote Sensing & GIS, applying machine learning and deep learning tools and techniques, analyzing and visualizing disaster and climate risk model outputs, land-Use land cover analysis, and biodiversity conservation. I excel in applying my skills in collecting, managing, processing, analyzing, and visualizing both tabular and geospatial data. My experience spans across disaster and climate risk analysis, socioeconomic disaggregated data analysis, multisectoral needs assessment, and landscape restoration.

💻 Technologies & Tools

                     

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  1. REACH_Ethiopia_Climate_and_Disaster_Risk_Assessment_Feb2025 REACH_Ethiopia_Climate_and_Disaster_Risk_Assessment_Feb2025 Public

    This repository contains the codebase for the REACH Ethiopia climate and disaster risk assessment February 2025.

    Jupyter Notebook

  2. GIS-RS-Python-Scripts GIS-RS-Python-Scripts Public

    A collection of Python scripts for various GIS (Geographic Information Systems) and RS (Remote Sensing) tasks. This repository includes scripts for data processing, analysis, visualization, and more.

  3. BGD-Disaster-Climate-Risk-Dashboard-World-Bank BGD-Disaster-Climate-Risk-Dashboard-World-Bank Public

    The repo maintains the code for Bangladesh CCDR shiny dashboard

    R 1

  4. Predicting_School_Drop-out_Using_ML Predicting_School_Drop-out_Using_ML Public

    This repository is used to store the codes for the research project of predicting school dropout in Southern Bangladesh using machine learning algorithms.

    Jupyter Notebook

  5. REACH_BGD_Shelter_Addressing_Methodology_Code_2022 REACH_BGD_Shelter_Addressing_Methodology_Code_2022 Public

    This repository contains the methodology and script used to generate the sequential shelter addresses in the Rohingya Refugee Camps of Cox's Bazar District, Bangladesh.

    1

  6. Bangladseh-Power-Plant-Database-WebMap Bangladseh-Power-Plant-Database-WebMap Public

    Insights drawn for Bangladesh from the global power plant database.

    JavaScript 1