Data engineering & R Development at the WHO

Muhammad Jarir Kanji

0

Data Scientist

Data Analyst

Data Engineer

Azure

Azure DevOps

R

Key Outcomes

Please scroll down to the Project Overview section for more details.
✔️Led the migration of the Triple Billions data pipeline from a proprietary database to the World Health Data Hub (built on top of Microsoft Azure).
✔️ Significant improvements to data access with 100x faster access times and 14x smaller download sizes.
✔️ Automated data processes using Azure Data Factory and internal tooling, saving hours in manual processes daily.
✔️ Maintained and developed new features for GPW13 R packages and helped design an R package for interfacing with the World Health Data Hub.

Project Overview

The Triple Billions program is an initiative by the WHO that aims to enable:
1 billion more people to enjoy better health and well-being
1 billion more people to be covered by essential health services
1 billion more people to be protected from health emergencies
The tracking of member countries' progress toward these goals is defined by a complex data pipeline integrating and forecasting global data for 46 health indicators. These dashboards were a centerpiece for sessions at the World Health Assembly and used to populate the World Health Statistics report.
I helped the WHO manage this pipeline and improve code quality across the project.
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Posted Mar 7, 2024

Led development of R data pipelines tracking 46 global health indicators. Automated processes and led cloud migration, leading to 100x faster data access.

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Clients

World Health Organization

Tags

Data Scientist

Data Analyst

Data Engineer

Azure

Azure DevOps

R

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