Marzie Hosseinpour

• Working as process intelligence and AI senior consultant • Evaluation and cost estimation for selecting suitable process mining tools • Preparing process mining portfolio aiming to be presented to customers • Preparation of an internal statistics and machine learning training for CGI members • Collaborating in AI initiative group in CGI • Started working on Azure data warehouse and big data certificate programs

Research topic: Application of data analytics techniques in auditing Research method: Both qualitative and quantitative approaches • Define high level categories for deviations in a continuous auditing context • Design deviation detection tool for auditing using process conformance checking technique • Design and implement deviation classification tool using sequence mining and frequent item set mining

visiting scholar in both accountin information system deparment and in the school of computer science. Designing process conformance checking toolkit for internal control Team working towards developing a process analysis tool Presenting process mining qualitative and quantitative research outputs in workshops

Process mining, data mining, machine learning, business intelligence, Artificial intelligence, Business process modeling, Internal control, Deviation detection, predictive modeling, active learning, internal control

Artificial intelligence, Data mining, Machine learning, Neural networks, support vector machine, Active learning, natural language processing