Speaker Bio
My name is AKAMBA MANI Crescence Catherine, and I hold a Master’s degree in Computer Science, specializing in Data Science, from the University of Yaoundé 1 in Cameroon. My thesis focused on predicting credit risk in peer-to-peer lending platforms using attributes extracted from graphs. In this project, we proposed constructing the bipartite loan-modality graph and the modality graph from the descriptive attributes of borrowers, and applying a customized PageRank to these graphs to extract new descriptors. The performance analysis of the prediction models confirmed that the new descriptors not only improve predictions but are also among the most important according to Shapley value analysis. The bulk of this work will be submitted to the journal Advanced Engineering Informatics. My field of research has also expanded to include several projects, notably the improvement of facial recognition for online authentication using the Deep Retinex-Net model (which allows for the processing of low-light images), the FDN (Feature Decoupling Network) model for facial movement analysis, and the CNN (Convolutional Neural Network) model for emotion detection. I also worked on a recommendation system for public transportation in the city of Yaoundé, Cameroon. We started by collecting comprehensive data on the city’s population, then developed a multiple logistic regression model to predict transportation fares for a given route. I have also worked in the field of parallel machine learning. (edited)Hope to see you there :rocket: