Maryam Hassanlou is a Senior Principal Analyst with extensive experience in designing, developing, implementing, and evaluating Machine Learning, Artificial Intelligence, Decision Support Systems, Operation Research, and Expert System models. With a passion for bridging the gap between technology and business, she has a proven track record of delivering meaningful insights and impactful solutions to organizations and also in research publications. Her areas of focus include Decision Intelligence, ML/AI use cases implementation, statistical analysis, Business Intelligence, AI Indexing, MLOps, and Task and Process Mining. With a strong background in analytics, Maryam has a deep understanding of the value that data can bring to decision-making processes and has developed effective strategies for leveraging data to drive better outcomes.
Maryam's background encompasses both academic and industry experience, showcasing expertise in teaching, research, and management within academia, as well as proficiency in developing machine learning models and implementing decision support systems in the financial consulting industry, streamlining processes through process reengineering/mining, and executing project planning, budgeting, and control within the oil and energy industry.
California State University San Marcos
National Oil Company
Project Planning & Control Manager
Arad International group
Business /Data Analytics Manager
Ph.D. in Industrial Engineering, 2012, Iran University of Science and Technology Tehran, Iran
M.S. in Industrial Engineering, 2005, Iran University of Science and Technology Tehran, Iran
B.S. in Industrial Engineering, 2003, Amir-Kabir University Tehran, Iran
1AI use case implementation
2DSML Platforms and market landscape
3Process/Task Mining_ RPA
4Generative AI (Foundations, use cases, Operationalizing, Market landscape)
5Anomaly detection (in finance, Manufacturing, healthcare, cybersecurity)