Malawi 2015 Flood: Data Visualization of its Impact
This project was primarily carried out to determine the impact of flood in Malawi particularly Southern Malawi which was the worst hit region in the country. The flood was caused by heavy rains between January and March 2015.
I presented the project in a visualization format because visuals have a lot of impact on people while storytelling, this was achieved using Python and the QGIS software packages.
According to UNICEF, in Malawi, about 276 people were killed or missing, while 645 people had been injured and 230,000 people were displaced due to the 2015 floods.
It is a sad reality because floods are preventable disasters if sufficient precautionary measures are taken. I hope with the aid of my project, relevant governmental and non-governmental bodies can make adequate plans to prevent future occurrences.
About the expert
ATOYEBI, Temitope Mariam
Temitope Mariam Atoyebi is a freelance data scientist. She has worked for clients across various industries which include health, finance, environmental, agricultural and transport. Mariam worked formerly in the Oil and Gas Industry as a petrotechnical expert but her current passion is the use of data science and its related fields to solve societal challenges which is reflected in the projects she works on. She holds a BSc. degree in Petroleum Engineering and she is about to complete her MSc. degree in Project Management.
Some of her projects are: Building of a machine learning model that can help create an optimized ambulance deployment system in Nairobi, Kenya; Building of a machine learning model to forecast air quality (as measured by PM2.5 µ/m3) for each hour of the coming 25 hours across five locations in Kampala Uganda; Building of a machine learning model to aid a Kenyan company towards developing a mental health chatbot. She also loves telling stories and drawing insights through data visualization.
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