Ivan Fanjek

Ivan Fanjek's work experience includes being a Junior Data Engineer at iOLAP since November 2021. Prior to that, they worked as a Student Research Assistant at the Faculty of Mechanical Engineering and Naval Architecture from 2016 to 2018.

Ivan Fanjek obtained a Master of Engineering (MEng) degree in Mechatronics, Robotics, and Automation Engineering from the University of Zagreb/Sveuciliste u Zagrebu, where they studied from 2012 to 2021.

In addition to their formal education, Ivan has acquired several certifications. These include the following courses completed on Coursera: Generative Deep Learning with TensorFlow (October 2022), TensorFlow: Advanced Techniques Specialization (October 2022), Advanced Computer Vision with TensorFlow (August 2022), Custom and Distributed Training with TensorFlow (July 2022), Custom Models, Layers, and Loss Functions with TensorFlow (June 2022), Convolutional Neural Networks in TensorFlow (May 2022), DeepLearning.AI TensorFlow Developer Specialization (May 2022), Natural Language Processing in TensorFlow (May 2022), Sequences, Time Series and Prediction (May 2022), Deep Learning Specialization (April 2022), Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (April 2022), Sequence Models (April 2022), Convolutional Neural Networks (March 2022), Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (January 2022), Structuring Machine Learning Projects (January 2022), and Neural Networks and Deep Learning (December 2021).

Ivan also completed the Build a Machine Learning Model with Python Skill Path and Visualize Data with Python Skill Path courses on Codecademy in October 2021, as well as the Analyze Data with Python Skill Path and Learn Data Analysis with Pandas Course in September 2021.