This repository presents a professional portfolio of United Nations aligned analytics projects focused on development challenges, humanitarian risk analysis, public policy support, and evidence based decision making.
The projects demonstrate applied use of data analytics, machine learning workflows, API based data retrieval, SDMX integration, exploratory analysis, risk profiling, and dashboard ready analytical outputs relevant to international development organizations, humanitarian agencies, and public sector institutions.
The repository is designed to reflect practical analytical workflows used in development analytics, monitoring and evaluation, SDG tracking, humanitarian intelligence, and policy support environments.
This portfolio aims to demonstrate the ability to:
- Work with international development datasets
- Retrieve and process data through APIs and SDMX services
- Build analytical workflows for humanitarian and development use cases
- Conduct climate and food security related risk analysis
- Analyze child malnutrition indicators and development vulnerabilities
- Prepare dashboard ready datasets and outputs
- Produce structured, reproducible, and policy oriented analytical workflows
| Project | Focus Area | Key Themes |
|---|---|---|
| Climate Resilience and Food Security Risk Analysis | Development risk profiling and climate vulnerability analysis | Climate resilience, food security, comparative risk analysis, dashboard ready analytics |
| Child Malnutrition and Risk Analysis Using UNICEF SDMX Data | UNICEF nutrition data analytics and SDMX API integration | Child malnutrition, stunting indicators, SDMX API workflows, development intelligence |
This project focuses on analytical assessment of climate resilience and food security related risks using structured development indicators and comparative profiling techniques.
The workflow includes:
- Data cleaning and analytical dataset preparation
- Indicator alignment and transformation
- Comparative country profiling
- Initial and comparative risk scoring
- Development vulnerability interpretation
- Dashboard ready analytical outputs
- Climate vulnerability
- Food insecurity risk
- Development resilience
- Comparative indicator analysis
- Evidence based decision support
- Cleaned analytical datasets
- Comparative risk scoring workflows
- Executive analytical findings
- Visualization ready outputs
- Power BI/dashboard integration support
This project demonstrates the use of UNICEF SDMX APIs for development data retrieval, nutrition indicator analysis, and child malnutrition risk exploration.
The workflow emphasizes reproducible API driven analytics and structured development intelligence processing.
- UNICEF SDMX API exploration
- Dataflow discovery and inspection
- Nutrition indicator selection
- Automated data retrieval
- Dataset transformation and cleaning
- Child malnutrition analytical exploration
- Risk interpretation and reporting
- Child stunting
- Nutrition indicators
- SDG aligned analytics
- Development monitoring
- UNICEF SDMX integration
- Evidence based humanitarian analysis
- REST API integration
- SDMX JSON processing
- Automated development data retrieval
- Cross notebook configuration management
- Structured analytical workflows
| Category | Technologies and Libraries |
|---|---|
| Programming | Python |
| Data Processing | pandas, NumPy |
| Visualization | Matplotlib, Seaborn |
| API Integration | requests, SDMX REST APIs |
| Notebook Environment | Jupyter Notebook, VS Code |
| Dashboard Preparation | Power BI ready analytical exports |
| Version Control | Git, GitHub |
UN-Projects/
├── Climate Resilience and Food Security Risk Analysis/
├── Child Malnutrition and Risk Analysis Using UNICEF SDMX Data/
├── .gitignore
└── README.md
Each project contains notebooks, outputs, reports, configurations, and supporting analytical material relevant to the specific use case.
Methodological Approach
The projects generally follow a structured analytics lifecycle:
Problem framing and development context definition
Data access and retrieval
Dataset inspection and quality assessment
Data cleaning and transformation
Exploratory analytical workflows
Comparative profiling and interpretation
Risk analysis and indicator evaluation
Dashboard ready output generation
Policy and development oriented interpretation
UN and Development Relevance
The repository is aligned with analytical themes commonly relevant to:
United Nations agencies
UNICEF
UNDP
WFP
WHO
Development research organizations
Humanitarian analytics initiatives
SDG monitoring frameworks
Public policy analytics environments
Key areas of relevance include:
Area Relevance
SDG Monitoring Development indicator analysis and reporting
Humanitarian Analytics Risk and vulnerability interpretation
Nutrition Analytics Child malnutrition and stunting analysis
Climate Risk Food security and resilience profiling
Development Intelligence Evidence based analytical workflows
Data for Policy Structured analytical decision support
Data Management Note
Large raw datasets, temporary files, generated arrays, and heavy intermediate outputs are intentionally excluded from the repository to maintain lightweight public accessibility and portfolio usability.
The repository focuses on:
analytical methodology,
reproducible workflows,
structured processing pipelines,
and interpretable outputs.
Where applicable, public dataset sources and API endpoints are documented within the notebooks and project documentation.
Portfolio Value
This repository demonstrates capabilities relevant to:
Role Type Demonstrated Skills
Data Analyst Cleaning, analysis, interpretation, reporting
Development Data Analyst SDG and development indicator analysis
Humanitarian Data Analyst Risk profiling and vulnerability assessment
Monitoring and Evaluation Associate Indicator handling and analytical workflows
AI and Analytics Consultant Structured analytical problem solving
UN Research and Analytics Roles Development oriented evidence analysis
Key Strengths Demonstrated
API based development data retrieval
UNICEF SDMX integration workflows
Structured analytical notebook design
Climate and food security analytics
Development indicator processing
Risk scoring and comparative profiling
Dashboard ready data preparation
Reproducible project organization
Policy oriented analytical interpretation
Future Enhancements
Planned future improvements may include:
Interactive Power BI dashboards
Geospatial and mapping integrations
Advanced predictive modeling
Time series vulnerability analysis
Expanded SDMX integration workflows
Automated reporting pipelines
Cross country comparative analytics
Author
Samina Saadia
Senior IT and Data Analytics Professional
Python | SQL | Power BI | Machine Learning | Development Analytics | SDMX Integration
This repository is part of a broader professional portfolio focused on data analytics, machine learning, development intelligence, and evidence based decision support.