Ivana Donevska is a data, analytics and AI risk leader with over a decade of experience building high-impact AML and enterprise analytics programs for financial services and education organizations. She founded and scaled AML data science teams at BMO and USAA, leading Big Data and machine learning pilots that delivered measurable operational savings and false-positive reductions. Ivana combines hands-on quantitative expertise (pyspark, Python, TensorFlow) and data engineering with governance, regulatory compliance and BCBS 239 best practices to run risk-aware analytics functions. She has a track record of translating R&D into production—piloting enterprise big data platforms, ML-driven transaction monitoring and generative AI tutors—and has published academic work in Bayesian networks and recommender systems. Outside work she competitively sails and climbs, a detail that reflects her appetite for strategic risk-taking and rigorous teamwork.
10 years of coding experience
11 years of employment as a software developer
Bachelor in Electrical Engineering Informatics and Computer Engineering, Bachelor in Electrical Engineering Informatics and Computer Engineering at Ss Cyril and Methodius University, Skopje, Macedonia
Master of Science (MSc) Applied Computer Science, Master of Science (MSc) Applied Computer Science at Purdue University
The Chicago Management Institute Management, The Chicago Management Institute Management at University of Chicago Booth School of Business Executive Education
Pricing for Profitability Microeconomics Strategy , Pricing for Profitability Microeconomics Strategy at University of Chicago
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Ivana Donevska - US Data, Analytics And AI Risk Head