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@MatusTibensky
Member since November 7, 2016
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MatusTibensky

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PhD student of Applied Mathematics at the moment focused on research in Image Processing and Computer Vision with interest in Machine Learning and Neural Networks. Experience in Actuarial Science, Predictive Modelling and General Insurance. University background - Differential Equations and Functional Analysis, Insurance Mathematics and Statistics.
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Experience

Reserving Actuary

Nov 2015 - Jul 2016 (8 months)

Position in Group Non-Life Actuarial reserving team focused mainly on control and check of the reserves development, payment patterns and preparing inputs for capital management team. Also part of the Vision 2020 team focused on the preparation and implementation of the new way of reserving.

Pricing Analyst

Jul 2014 - Nov 2015 (1 year)

Member of the Predictiva Analytics under the Zurich North America focused on building predictive models to deliver the insights for the business and protect customers. Data preparation, quality checks of the data a pre-model analysis in SAS and Excel. Statistical modelling using various methods (GLM, decision trees, neural networks, price optimization, logistic regression, etc.) and programs (Emblem, SAS, Radar, R, etc.). Model validation and implementation.

Education

PhD.

2012 - 2016 (4 years)

Engineer

2012 - 2014 (2 years)

Master in Science

2007 - 2012 (5 years)

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