Summary
Peter Cvacho is a data scientist with nine years of analytic experience and over six years focused on delivering machine learning and NLP solutions for insurance and energy sectors. He combines a strong statistical foundation (Master’s in Statistics and Econometrics) with hands-on production deployment skills in Python and R, having led technical claims projects and built pricing models and monitoring frameworks at Zurich. Peter is experienced in mentoring and training colleagues, translating domain knowledge into robust, testable code and semi-automated reporting tools. Currently at PX Energy, he applies his insurance modeling rigor to new business challenges, often tackling research-style prototyping through to production. Notably, he bridges research and engineering by designing NLP algorithms and Shiny-based model monitoring that turned complex data sources into actionable stakeholder insights.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at Univerzita Komenského v Bratislave
Master's degree, Econometrics and Quantitative Economics, Master's degree, Econometrics and Quantitative Economics at Vilniaus Universitetas / Vilnius University