Viktor Dolník is a Quantitative Analyst with experience in developing models in the power domain, focusing on time-series and meteorological data at Second Foundation from May 2021 to January 2023. Prior to this, Viktor served as a Senior Software Engineer, designing and supporting frameworks for analytical lifecycles and model serving, achieving significant advancements in distributed computing and machine learning pipelines. Viktor's earlier experience as a Software Engineer at Revolt BI included reformulating a stochastic optimization problem to enhance speed and accuracy and co-developing a Python API for the automotive industry. Educationally, Viktor holds a Master's degree in Theory of Probability, Mathematical Statistics, and Econometry, as well as a Bachelor's degree in Mathematics from Charles University in Prague.
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