Wiktor Franus

Wiktor Franus has work experience as a Data Scientist at ConnectPoint, where they implemented simulation models of wind farms and performed data cleansing, analysis, and forecasting of smart meter data. Wiktor also worked as a Software Engineer at Warsaw University of Technology, where they contributed to various R&D projects in artificial intelligence, including bioinformatics, healthcare, machine learning, deep learning, NLP, and data science. Additionally, they developed web applications for internal use.

Wiktor Franus obtained a Bachelor of Science in Computer Science from the Warsaw University of Technology, where they studied from 2014 to 2018. Wiktor then pursued a Master of Science in Computer Science at the same university from 2018 to 2020. In terms of additional certifications, they obtained the following: "Microsoft Certified: Azure Fundamentals," "Microsoft Certified: Azure Data Fundamentals," and "Microsoft Certified: Azure AI Fundamentals" from Microsoft in May 2021. Wiktor also completed the "Neural Networks and Deep Learning" course on Coursera in June 2021, and the "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization" course on Coursera in February 2022. Moreover, they became a "Microsoft Certified: Azure Data Scientist Associate" in June 2022 and a "Microsoft Certified: Azure AI Engineer Associate" in March 2023.