Data Science for Sustainable Development
Modupeola Fagbenro is an accomplished data scientist currently engaged in research at Data Science for Sustainable Development, focusing on sentiment analysis of Canadian wildfires using a comprehensive dataset. Previous experience includes a Business Intelligence Engineer internship at Amazon, where Modupeola developed a data health monitoring model and dashboard, significantly improving efficiency. At OneCampus Academy, knowledge in advanced machine learning and deep learning was gained, while at Open Planet Technologies, data products and predictive models were created, achieving notable business outcomes. Modupeola's early career included a data scientist role at IBM Digital - Nation Africa and analysis on employment data at Tech4Dev, culminating in a robust educational background in data science and technology from reputable institutions.
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Data Science for Sustainable Development
Data Science for Sustainable Development (DSSD) provides pro bono data science services and consultation to mission-driven organizations operating in the development and humanitarian sphere. We help organizations transform their data into meaningful deliverables and insights for positive social impact. DSSD is committed to aiding those who benefit from our services the most, with a focus on working with resource-strained nonprofits and government agencies. Together, we can leverage data science to tackle the world’s greatest challenges.