Senior Data Scientist,
Creating a robotics industry in Trinidad and Tobago
Inzamam Rahaman is a senior data scientist at the Guardian Group and a PhD candidate at The University of the West Indies, St. Augustine, specialising in machine learning, graph mining, algorithmic game theory, computational social science, and operations research. He has published 11 peer-reviewed articles in several ACM (Association of Computing Machinery), IEEE (Institute of Electrical and Electronics Engineers), and Springer venues. In addition, he reviewed for the IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computational Social Systems, and Springer's Social Networks Analysis and Mining. His current thesis work is centred on understanding, modelling, predicting, and intervening in online social networks impacted by antagonistic relationships and polarisation.
Before joining the Guardian Group, he taught at The University of the West Indies, St. Augustine. He taught many different aspects of artificial intelligence, data science, software engineering, and theoretical computer science. Moreover, he served as one of the committee members that planned and executed multiple DCIT Bootcamps.
At the end of his undergraduate degree in computer science, NIHERST awarded him a fellowship to intern at the NASA Ames Research Center in Mountain View, California. At NASA, he worked on geospatial data visualisation applications in both pedagogical and urban planning contexts.
He graduated with his undergraduate degree with first-class honours in 2015 and earned the Margaret Bernard - Medullan Prize for the highest graduating GPA amongst computer science students. During his undergraduate degree, he worked as a research assistant under the AgriNeTT project in Time Series Analysis. His undergraduate project involved implementing a VQ-index steganography technique on a Field Programmable Gate Array.