Digica
Klaudia Goczał has a diverse work experience in various industries. Klaudia started their career as a Quality Assurance Internship Trainee at Fujitsu Poland in 2015. Klaudia then interned as a Software Developer at Ericsson in 2018. In 2019, they worked as a Junior Data Scientist at Enigma Pattern before being promoted to a Data Scientist/Machine Learning Engineer. In 2020, Enigma Pattern merged with KlickDigital to form Digica, where Klaudia continued their work as a Data Scientist & Tech Lead. Klaudia then transitioned to the role of Project Manager/Program Manager at Digica in 2021. Currently, they are working as a Business Manager - Medical at Digica, where they combine their expertise in AI and software with medical applications.
Klaudia Goczał pursued their education from 2014 to 2019 at the Lodz University of Technology, where they obtained a Bachelor of Engineering (BE) degree in Computer Science. In addition to their formal education, they also acquired several certifications including being a True Colors Facilitator from True Colors International in April 2022. Klaudia completed the AWS Fundamental Course in the AWS Machine Learning Scholarship from Udacity in August 2020. Moreover, they obtained an Android Basics Nanodegree by Google from Udacity in August 2018. Prior to their university education, Klaudia received a Certificate in Advanced English from the University of Cambridge in June 2012.
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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.