Saruul Altanbagana

- Topic: Modeling prediction of strategic M&A activities within an industry to enable quick decision-making and anticipating shifts in the competitive landscape - Applied Deep Learning methods (BERT & Transfer learning) to achieve high performance models ready for production

- Research support on Topic: Predictive Maintenance & Process Mining: next activity prediction modelling of business processes using event log data - Focusd on RNN-LSTM DL architectures for sequence prediction

- NLP projects highly focused on automation of knowledge intensive processes: transformation of unstructured text to network graphs for quick and easy visualization - Conceptualized and prototyped process automation strategies relevant to information extraction, information retrieval for several work-streams