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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. 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

  2. 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

  3. REACH_BGD_CXB_NatHaz_TWG_DASHBOARD_2022 REACH_BGD_CXB_NatHaz_TWG_DASHBOARD_2022 Public

    This dashboard summarizes the current work of the Natural Hazard Risk Analysis Technical Working Group (NatHaz TWG).

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

    Insights drawn for Bangladesh from the global power plant database.

    JavaScript 1

  5. 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