Internet-in-a-Box - Build your own LIBRARY OF ALEXANDRIA with a Raspberry Pi !

R package to support Remote Sensing oriented field work

[Front-End] Web Application for Data Visualization and Management using React, GraphQL, d3, deck.gl and Semantic UI

An open-source tool for extracting multilateral development bank project data.

📝 Projects & News

This repository includes code for constructing a variety of agricultural development indicators from household survey microdata (primarily LSMS-ISA surveys) as well as documentation for construction decisions across instruments.

Cleaned and constructed indicators based on the LSMS-ISA Data. Source code for producing the estimates is available at https://github.com/EvansSchoolPolicyAnalysisAndResearch/LSMS-Agricultural-Indicators-Code

Data tool to help international development NGOs to navigate charity commission data. Project partners: The Sheffield Institute for International Development, David Kane, CharityBase

Internet-in-a-Box - Build your own LIBRARY OF ALEXANDRIA with a Raspberry Pi !

IFRC Surge Information Management Support Portal

R package to support land cover classification and water management in the Central Asia Basin (SAB)

Replication materials for "The Relational Bases of Informal Financial Cooperation" (Simpson, In Prep.)

[Front-End] Web Application for Data Visualization Using Plotly and Dash

Repository to hold world bank work.

Here you can see my projects based on different fields and ideas.

🏦 Project IBRD Statement of Loans (Python, SQL, Excel, Power BI, Tableau)

A curated list of high-quality resources, organizations, data platforms, and tools related to international development, humanitarian work, poverty alleviation, and global equity.

[Mobile] Application for Data Collection and Asset Identification Using Ionic

[Front-End] Web Application for Data Visualization and Management using React, GraphQL, d3, Deck.gl and Semantic UI

Machine learning and optimization models to predict Human Development Index and allocate international aid across Africa using regression and constrained optimization.