Maryam Hassanlou is a Director Analyst with extensive experience in designing, developing, implementing, and evaluating AI, Machine Learning, Knowledge Graphs, Context Layer, AI Agent Evaluation, AI Explainability, Operation Research, and Expert System models, providing decision frameworks in selecting platforms for different domains in AI and KGs. 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 ML/AI use cases implementation, Platform evaluation/comparison for DSML, AI and knowledge graphs, Operation Research, statistical analysis, Business Intelligence, MLOps, and AgentOps. 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, Faculty, 6 years
National Oil Company, Project Planning & Control Manager, 4 years
Arad International group, Business /Data Analytics Manager, 3 years
AI Strategy and Business Transformation
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
AI use case implementation
DSML Platforms and market landscape
Generative AI (Foundations, use cases, Operationalizing, Market landscape)
Knowledge Graphs
Anomaly detection (in finance, Manufacturing, healthcare, cybersecurity)