KONUX
Olga Spackova is a skilled data science professional with extensive experience in predictive modeling and risk analysis. Currently serving as Data Science Team Lead at KONUX since October 2018, Olga is involved in developing IIoT and predictive maintenance solutions for railway infrastructure. Prior to this role, Olga worked at Technical University Munich as a Senior Researcher and Project Team Leader in the Engineering Risk Analysis Group, focusing on predictive models. Career highlights include participation in a data science bootcamp at Data Reply DE, research at the University of Colorado Boulder on decision models for infrastructure optimization, and contributions to various projects in academia and industry, including probabilistic modeling and risk assessment. Olga holds a Doctoral degree in Probabilistic Modelling and Risk Analysis and a Master's degree in Civil Engineering from Czech Technical University in Prague.
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