Digica
Krzysztof Krenc has worked as a Data Scientist at Digica starting from April 2021. Prior to that, they worked as an Artificial Intelligence Engineer at Contract.fit from January 2020 to March 2021. Before that, they worked as a Data Scientist at Billennium from October 2018 to November 2019. Krzysztof also has experience working at Accenture, where they started as an Associate Software Engineer from January 2018 to September 2018, and then worked as a Machine Learning Intern from August 2017 to December 2017.
Krzysztof Krenc's education history begins in 2009 when they enrolled at the University of Lodz to pursue a Master's degree in Psychology. Krzysztof completed their Master's degree in 2014. Afterward, they continued their education at the same institution and obtained a Bachelor's degree in Philosophy from 2014 to 2017.
In 2017, Krzysztof attended the University of Warsaw where they engaged in studies related to Data Science. However, specific information about the degree obtained during this period is not provided.
From 2015 to 2022, Krzysztof pursued a Doctor of Philosophy (Ph.D.) in Philosophy at the University of Lodz. This represents their most recent educational achievement.
Overall, Krzysztof's educational journey consists of a Master's degree in Psychology, a Bachelor's degree in Philosophy, and a Ph.D. in Philosophy.
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Digica
Digica an international software services company working at the forefront of the Artificial Intelligence revolution. We build solutions from edge to Cloud for a range of industries, including automotive, defence, eCommerce, finance, life science, security and transportation, for major international companies and innovative start-ups alike.Digica's strength is combining its AI and Deep Learning expertise with world-class software development to allow mission-critical and time-sensitive decisions to be made faster, more reliably and with greater security.The rush to push AI to the edge is being fuelled by the rapid growth of smart devices at the edge of the network—smartphones, smart watches and sensors placed on machines and infrastructure.